Decision Situations Research Articles

Multi-Criteria Decision-Making Approach Based on Correlation Coefficient for Multi-Polar Interval-Valued Neutrosophic Soft Set

The correlation coefficient between two factors is crucial in statistical computation, indicating the extent and evolution of the appropriate link. The precision of applicability evaluations frequently relies on the thoroughness and caliber of data obtained from a certain dataset. Statistical research sometimes entails data marked by intrinsic trade-offs and uncertainty. This study seeks to present m-polar interval-valued neutrosophic soft sets (mPIVNSSs) through the integration of m-polar fuzzy sets with interval-valued neutrosophic soft sets. The suggested mPIVNSS structure is a significantly generalized version of m-polar neutrosophic soft sets and serves as a substantial extension of interval-valued neutrosophic soft sets. In this scenario, we delineate the correlation coefficient (CC) and the weighted correlation coefficient (WCC), together with their pertinent features, specifically designed for mPIVNSSs. A multi-criteria decision-making (MCDM) technique has been established based on the proposed correlation measures. To demonstrate the efficacy and relevance of the MCDM method, we present a detailed mathematical illustration. The study emphasizes the utility, impact, and flexibility of the created method through comparison analysis with traditional methodologies, illustrating its efficacy in resolving complicated decision-making situations.

Patients' psychosocial attributes and aggressiveness of cancer treatments near the end of life.

While the use of chemotherapy near the end of life (EOL) has been identified as a relevant criterion for assessing quality of cancer care and has been estimated as non-beneficial, a trend of aggressiveness in cancer care during the last period of life remains. Both patients' sociodemographic characteristics and physicians' practice setting are associated with this use. The role of patients' psychosocial characteristics has however been understudied. The objectives were to study oncologists' intention to recommend chemotherapy or therapeutic abstention in an EOL patient's case and to examine the factors associated with this decision. A clinical vignette-based questionnaire survey was conducted. While the case presented to the participating oncologists of a patient with EGFR-mutated lung cancer, progressing after osimertinib, ECOG 3, with leptomeningeal disease (N = 146), was strictly equivalent in terms of medical aspects and age, 4 patients' non-medical characteristics were manipulated: gender, marital status, parenthood, and psychosocial characteristics ("nice" patients, patients "making strong demands," or control patients). 77.4% of the oncologists surveyed stated that they would recommend chemotherapy in this situation. Only scenarios with nice patients or patients making strong demands were associated with less recommendation of chemotherapy (70.8% for the nice/making strong demands scenarios together vs 87.7%, for the control scenario P = .017). Medical oncologists with previous experience of similar cases were also less keen to recommend chemotherapy (73% vs 100%, P = .007). Of the 76.7% of respondents declaring that they would think of other therapeutic options, 49.1% mentioned "other treatments" without mentioning palliative care. Developing physicians' awareness of the psychosocial aspects at stake in their medical decisions in these sensitive situations may improve EOL care.

Advancing methods for comparative nutritional LCA of milk and plant-based milk substitutes

Abstract Purpose The contribution of milk on the environmental and nutritional impacts of diets is substantial especially in countries with high consumption rates of dairy products, such as in the Nordic countries. Due to environmental and health reasons, plant-based drinks (PBDs) are gaining popularity among consumers, but the nutritional composition of PBDs varies depending on their base ingredients and possible fortification. This study develops product group-specific nutrient indices to be used as functional units (nFU) in life cycle assessments (LCA) of milks and PBDs. Methods Here, we formed three product group–specific nutrient indices for milk and PBDs: (i) based on our previous development of product group–specific indices considering the current dietary role of milk in Finnish diets, (ii) based on the potential nutritional benefits of PBDs compared to milk, and (iii) as combination of the two abovementioned indices. The new indices were then applied as a nFUs in a case study comparing selection of 46 drinks from the Finnish food composition database including milks and fortified and unfortified PBDs. The environmental impacts were assessed in five different impact categories utilizing data from LCA databases. Results and discussion The index based on current consumption led to the highest nutrient index scores for cow’s milks and consequently lower environmental impacts when used as a nFU, whereas the index based on nutrients obtained from PBDs as nFU led to higher environmental impacts for milk and lower for PBDs. Cow’s milk had the highest climate impact when the impacts were allocated per unit of mass, but in nFU-based comparison, some PBDs had higher impacts than cow’s milk. The results showed notable difference between fortified and unfortified PBDs, as the environmental impacts of unfortified PBDs were higher than impacts of milk when the comparison was based on nutrient content, while the environmental impacts of fortified drinks were lower than those of milk. Conclusions The index based on nutrients currently obtained from milk is the most suitable one for capturing the nutritional consequences of substituting milk with PBDs in the current diets. However, the other indices can bring additional information on the possible nutritional benefits in another decision-making situation. As nutrient fortification has substantial impact on the results, the role of fortification in sustainable foods should be further evaluated and the methodological approaches to consider fortification in nLCA advanced.

A Consensus Framework for Evaluating Dispute Resolution Alternatives in International Law Using an Interval-Valued Type-2 Fuzzy TOPSIS Approach

This research is motivated by the arbitrary nature of decision-making environments and the dynamic changes in decision patterns, particularly in international dispute resolution. These challenges introduce uncertainties that could be effectively managed by fuzzy logic, which provides a robust framework for evaluating alternatives under multiple criteria. In this study, an Interval-Valued Type-2 Fuzzy TOPSIS approach is proposed to assess various dispute resolution methods, including negotiation, good offices, mediation, international inquiry, conciliation, international organization, arbitration, and international jurisdiction. Common criteria are determined by examining academic literature and by interviewing relevant experts.—cost-efficiency, duration, impartiality, binding nature, and generalizability are considered essential in determining the best resolution method. The proposed method allows for a nuanced evaluation by incorporating both primary and secondary levels of uncertainty, enabling decision-makers to determine the best alternative solution more reliably. This method’s application extends not only to the international law field but also to industrial engineering, where complex, uncertain decision environments require similarly sophisticated multicriteria decision-making tools. By systematically analyzing these resolution methods, this study aims to provide a structured, quantifiable approach that enhances the decision-making process for both international legal practitioners and engineers working with uncertain and dynamic systems. The results of this study ultimately contribute to improved decision-making outcomes and greater efficiency in multidisciplinary problem solving. The assessments of experts in international law, international relations, and political science in their respective fields of expertise have been gathered to form a consensus. This study contributes to the literature as it is the pioneering application of fuzzy multicriteria decision-making techniques in the field of international law. The results of this study imply that the best option from the different decision-maker evaluations is international jurisdiction. Consequently, the utilization of multicriteria decision-making tools can result in more informed and effective decisions in complex and uncertain situations, which is advantageous to both legal practitioners and engineers. Additionally, incorporating different disciplines can help streamline the decision-making process and improve overall efficiency in solving multidisciplinary problems.

Frailty as a predictor of mortality and morbidity after cholecystectomy: A systematic review and meta-analysis of cohort studies.

Although cholecystectomy is a common surgery, it carries higher risks of postoperative complications and mortality for older adults. Age alone is not a reliable predictor of postoperative outcomes, whereas frailty may provide a more accurate assessment of a patient's health and functional status. Frailty, characterized by physical deterioration and reduced resilience, has been shown to predict mortality, prolonged recovery, and morbidity after various surgeries, including cholecystectomy. Thus, incorporating frailty evaluations into preoperative assessments can improve patient outcomes by individualizing treatment strategies. This systematic review and meta-analysis aims to evaluate how well frailty predicts postoperative outcomes following cholecystectomy. In accordance with PRISMA guidelines, we searched PubMed, Embase, and Web of Science on August 14th, 2024, without restrictions on publication year or language. The quality of the studies was assessed using the Newcastle-Ottawa scale, and meta-analysis was conducted using odds ratios with 95% confidence intervals as the effect size, employing a random-effects model. Nine cohort studies comprising a total of 128,421 participants were included. The pooled results showed significantly higher odds of short-term mortality (OR: 5.54, 95% CI: 1.65-18.60, p = 0.006), postoperative morbidity (OR: 2.65, 95% CI: 1.51-4.64, p = 0.001), major morbidity (OR: 3.61, 95% CI: 1.52-8.59), and respiratory failure (OR: 3.85, 95% CI: 1.08-13.79) among frail patients. Additionally, frail patients had longer hospital stays (mean difference: 2.98 days, 95% CI: 1.91-4.04) and significantly higher odds of postoperative infection and sepsis. However, no association was evident with reoperation rates. This study highlights the value of utilizing frailty assessment tools in preoperative settings for predicting outcomes after cholecystectomy. These tools could improve decision-making in both emergency and elective situations, aiding in the choice between surgical and medical management, as well as between open and laparoscopic procedures tailored to each patient.

Impact of awe on sustainable tourism consumption decisions: roles of diminished self-importance and regulatory focus

Awe has been proved to have positive effects on pro-environmental behaviours. Although awe-arousing tourist experience and its impact on post-travel environmental propensities have been studied, it remains unknown whether and how awe primed outside of tourism context could influence tourism-based consumption. Acknowledging that tourists may contribute more to sustainable development if suppliers/marketers help them by manipulating decision-making situations, this research aims to analyse awe potential tourists experienced in decision-making process and its impact on their sustainable tourism consumption decisions. Small self and regulatory focus regarding the ways of cognising and appraising self and information were adopted to conceptualise the cognitive mechanism for accommodation to need of external grand entity (nature). Three experiments verified that awe promoted sustainable tourism consumption decisions through intensifying the sense of small self; awe’s causality and such mediation effect were stronger among individuals adopting prevention focus than those with promotion focus. Additionally, the main effect was compared between groups of high vs. low levels of small self. Spotlight analysis showed that the direct effect of awe on sustainable tourism decisions was attenuated when small self was relatively low. Findings extend knowledge of connections between awe and tourist behaviours and provide implications for sustainable tourism marketing.

Where There's Hope, There's Life 1 : On the Importance of Hope in Health Care.

It is widely supposed that it is important to ensure that patients undergoing medical procedures hope that their treatments will be successful. But why is hope so important, if indeed it is? After examining the answers currently on offer in the literature, we identify a hitherto unrecognized reason for supposing that it is important that patients possess hope for a successful treatment, which draws on prospect theory, Kahneman and Tversky's hugely influential descriptive theory about decision-making in situations of risk and uncertainty. We also consider some concerns about patient consent and the potential manipulation of patients that are raised by our account.

How to teach Bayesian reasoning: An empirical study comparing four different probability training courses

BackgroundBayesian reasoning is understood as the updating of hypotheses based on new evidence (e.g., the likelihood of an infection based on medical test results). As experts and students alike often struggle with Bayesian reasoning, previous research has emphasised the importance of identifying supportive strategies for instruction. AimsThis study examines the learning of Bayesian reasoning by comparing five experimental conditions: two “level-2” training courses (double tree and unit square, each based on natural frequencies), two “level-1” training courses (natural frequencies only and a school-specific visualisation “probability tree”), and a “level-0” control group (no training course). Ultimately, the aim is to enable experts to make the right decision in high-stake situations. SampleN = 515 students (in law or medicine) MethodIn a pre-post-follow-up training study, participants’ judgments regarding Bayesian reasoning were investigated in five experimental conditions. Furthermore, prior mathematical achievement was used for predicting Bayesian reasoning skills with a linear mixed model. ResultsAll training courses increase Bayesian reasoning, yet learning with the double tree shows best results. Interactions with prior mathematical achievement generally imply that students with higher prior mathematical achievement learn more, yet with notable differences: instruction with the unit square is better suited for high achievers than for low achievers, while the double tree training course is the only one equally suited to all levels of prior mathematical achievement. ConclusionThe best learning of Bayesian reasoning occurs with strategies not yet commonly used in school.

Інноваційні методологічні підходи до оцінки психофізичних здібностей гандболістів на етапі попередньої базової підготовки

The article deals with the psychophysical abilities of young handball players at the stage of preliminary basic training. Particular attention is paid to the analysis of the level of formation of such abilities as reaction speed, coordination of movements, concentration of attention and the ability to make decisions in stressful situations. The scientific relevance of the study is due to the need to improve training methods aimed at increasing the effectiveness of athletes' preparation for competitions. The purpose of the study is to analyze and evaluate the psychophysical abilities of young handball players, which will help to determine the effectiveness of the applied training methods and contribute to the development of new approaches to the training of athletes. Material and methods of research. Handball players at the stage of preliminary basic training (103 people) at the age of 15-16 years old, involved in the championship of Ukraine among boys, took part in the pedagogical experiment. To implement the goals and objectives of the study used a set of methods: theoretical analysis, synthesis and generalization; pedagogical observation; pedagogical testing; mathematical and statistical data processing. Research Results. It was found that the psychophysical abilities of young handball players who are at the stage of preliminary basic training correspond to a satisfactory level. However, in order to achieve high results in the future it is necessary to improve training programs taking into account the individual characteristics of each athlete. Analysis of the test results showed that the majority of handball players, both from the experimental and control groups, demonstrate similar results on the complex index of psychophysical abilities, which allowed us to conclude that there were no significant differences in the levels of development of psychophysical abilities between the groups at the beginning of the study. It was revealed that the average characteristics of different psychophysical tests in the majority of athletes correspond to a satisfactory level. For example, the speed of reaction to visual stimuli, reaction speed in game conditions, as well as the results of specialized handball tests showed that the level of formation of these abilities is sufficient for participation in competitions, but requires improvement to achieve high results. It is important to note that the highest average values of complex indicators of psychophysical abilities were observed in point guard players, which corresponds to the average level of formation. Line players also showed the results corresponding to the average level, while half-middle and edge players showed slightly lower values corresponding to the satisfactory level. Conclusions. The conducted study showed that at the stage of preliminary basic training most young handball players have a satisfactory level of development of psychophysical abilities, which indicates that there is a potential to improve their sports training by improving training methods. Given that different players demonstrate different levels of development of psychophysical abilities, especially among midfield and edge players, it is necessary to develop and implement individual training programs, which will optimize the training of each player in accordance with his individual characteristics and increase the overall effectiveness of the team.

Проблема футбольного інтелекту у сучасних дослідженнях

Speed, dynamism, high physical and mental loads characterize modern soccer. In this regard, the player's intelligence plays an important role during the game, because it: affects the form of tactical behavior; allows to make effective decisions in stressful situations; increases the player's ability to understand and establish links between game episodes and solve problematic game episodes using available tactical information. Therefore, the study of theoretical, tactical and psychological aspects of the development of intellectual abilities of a player is important for obtaining high results in this sport. The aim of the study is to analyze theoretical research on the peculiarities and development of intellectual abilities of soccer players. Research methods: theoretical analysis and generalization of scientific and methodological literature. Research results. As a result of the conducted analysis of literary sources it was determined that soccer intelligence is a way of thinking that allows a player to solve problem situations using knowledge, experience, skills and natural data, which are best suited for a particular game situation. Player's intelligence is a complex multilevel structure that is the result of player's adaptation to the conditions of the game space, constitutes a special form of tactical behavior of the player, is the result of purposeful tactical training of the player as a set of elementary processes of information processing and a system of cognitive processes. Conclusions. In soccer, the intellectual component is an integral part of both the game itself and the training process. Coaches are interested in its improvement and effective use because soccer intelligence is a way of thinking that allows a player to successfully solve problem situations using knowledge, experience, skills, and natural data that are best suited for a particular game situation.

예비유아교사의 현장실습을 통한 변혁적 역량 탐구

Objectives The purposes of this study were seek to explore the transformative capabilities of prospective early childhood teachers through early childhood education field practice experiences. Methods The study was conducted using qualitative research methods, and the participants were 15 pre-service early childhood teachers from K University in Gyeonggi-do. Data were collected through play observation records and reflection sheets in 3-, 4-, and 5-year-old classes, and the collected data was divided into high and low categories based on the extracted key keywords and qualitatively analyzed to derive results. Results The transformative competencies of prospective early childhood teachers through field practice were, first, respecting children with a loving heart and attitude as a basic competency, discovering personality and aptitude as an early childhood teacher, and establishing a teaching perspective with expectations of becoming an early childhood teachers. Second, the ability to understand the field was found to be overcoming fear and tension by understanding the field and learners, understanding the teacher's role by integrating knowledge and technology, and acquiring practical knowledge through decision-making in dilemma situations. Third, future response capabilities included practicing adaptability and flexibility according to change, establishing sensitivity to various perspectives through a sense of community, and utilizing information technology by incorporating ideas. Conclusions In order to improve the transformative capabilities of prospective early childhood teachers, the need for a practical program that allows students to experience learning through educational service experience and subject matter connection linked to daycare centers and kindergartens was discussed.

Motivational Characteristics of High School Students as Predictors of Ethical Choices in Decision-Making in Corruption Risk Situations

The paper presents the results of the study about the nature of the links between the high school students' characteristics of the motivational sphere (life goals, ethical position, locus of control, suggestibility and individual value orientations) and the type (ethical or corruption) and moral orientation (justice or care) of their choices when making decisions in situations of corruption risk. The sample consisted of 112 10th grade students of Moscow educational institutions aged 16-18 years (54 girls and 58 boys). It was found that high school students who choose personal growth as an internal life goal, have an expressed ethical position of idealism and are oriented towards universalism and stimulation as personal values are significantly more likely to make ethical choices (irrespective of their moral orientation) when making decisions in corruption risk situations. Striving for personal growth as an internal life goal, the ethical position of idealism, value orientations towards kindness, security and power are direct predictors of ethical decisions with an orientation towards the morality of justice, while the ethical position of relativism and value orientation towards hedonism are reverse predictors of such decisions. At the same time, relativism, health care and suggestibility are reverse predictors of ethical decisions oriented to the morality of care. Unethical (corrupt) choices based on the principle of justice ("everybody does it, and I can do it") are more often made by senior pupils who strive for money as an external life goal, and based on the principle of care - by respondents with a relativistic ethical position and value orientation towards hedonism. The desire to help can be a direct predictor of both ethical and corrupt decisions, depending on how senior pupils justify their choice: care orientation (ethical) or justice orientation (corrupt).

The Role of Faith in Medical Decision-Making

Abstract Background Ultra-Orthodox Israeli Jews face complex decisions when their doctors’ instructions contradict their rabbis’ advice. This study examines how their belief system affects their trust and decision-making in such situations, using socio-economic club theory and Gilligan’s listening guide. Methods Excerpts from 16 focus groups with 128 ultra-Orthodox Jews were analyzed to understand their perspectives on the relationship between doctors and rabbis. The socio-economic approach of Berman’s club theory was applied to explain their behavior, and Gilligan’s listening guide was used to analyze the focus group results. Results The strict behaviors in the relationships between doctors, rabbis, and patients function as social capital, raising the status of ultra-Orthodox Jews as members of an exclusive club. They balance critical health decisions with the social demand to obey religious leaders. However, listening to different voices (‘I,’ ‘we,’ and ‘they’) provides nuanced insights into their decisions, revealing dynamic changes in the community’s perceptions of the doctor-rabbi relationship and varying perspectives within the heterogeneous ultra-Orthodox community. Conclusions Combining Berman’s theory with Gilligan’s listening guide is an effective method for conducting in-depth qualitative research on sensitive issues with religiously strict groups. Understanding the belief systems underlying healthcare decisions is essential for providing culturally sensitive medical care to religious communities and training medical staff serving these communities. Key messages • Ultra-Orthodox Jews balance complex health decisions with social demands, revealing nuanced perspectives through strict doctor-rabbi relationships. • Combining theories and qualitative methods effectively studies sensitive issues in religious groups, informing culturally sensitive healthcare.

Effects of price path shapes and decision frames on emotions and investment decisions: Experimental evidence

We extend the literature on emotions and financial decisions by varying the agent (private investor, fund manager, delegation to a fund manager) in an investment experiment. We additionally vary the decision situation (buy or sell) and the shape of displayed price paths (convex, concave, or straight). We measure the investment behavior and the emotional valence evoked by the price paths. Independent of the type of agent, we confirm that price path shapes are related to investment behavior and emotions. In particular, concave shapes are associated with lower investments and valence. Finally, we provide evidence for a mediating role of valence.

Maintaining Accuracy While Reducing Effort in Online Decision Making: A New Quantitative Approach for Multi-Attribute Decision Problems Based on Principal Component Analysis

This paper explores consumer decision making, particularly focusing on the increasing prevalence of choices on the Internet such as online shopping. Examining the fundamental question of how individuals decide how to decide, our paper draws upon the effort–accuracy framework. This framework indicates that people typically consider both the cognitive effort associated with employing a specific decision strategy and the decision quality (i.e., accuracy) implied by using a particular strategy. However, decision strategies with high accuracy imply high effort. Empirical evidence shows that people often use decision strategies that require little effort. As a result, accuracy is often not high. Against this backdrop, this paper introduces a quantitative approach leveraging principal component analysis (PCA) as a decision support tool. Based on a simulation study, the approach demonstrates that it is possible to maintain high accuracy with significantly reduced effort in multi-attribute decision situations where attribute information is available in a quantitative format. This demonstration is based on the example of two decision strategies, which are both theoretically and practically highly relevant: the multi-attribute utility model (MAU) and the elimination-by-aspects strategy (EBA). By employing PCA for dimensionality reduction, the approach becomes particularly advantageous for online shops and online comparison portals, presenting users with concise yet accurate information. It is important to emphasize that our PCA approach is designed for data with a natural ordering, primarily focusing on quantitative variables. Consequently, decision situations where qualitative variables (e.g., product design or color) play a role in the decision-making process will need further exploration in future studies. However, we present a first solution to this problem so that our approach, based on this solution, can be implemented by online shops and online comparison portals in the near future.

A new sociology of humans and machines.

From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and permeating our communication channels, social interactions, economic transactions and transportation arteries. Networks of multiple interdependent and interacting humans and intelligent machines constitute complex social systems for which the collective outcomes cannot be deduced from either human or machine behaviour alone. Under this paradigm, we review recent research and identify general dynamics and patterns in situations of competition, coordination, cooperation, contagion and collective decision-making, with context-rich examples from high-frequency trading markets, a social media platform, an open collaboration community and a discussion forum. To ensure more robust and resilient human-machine communities, we require a new sociology of humans and machines. Researchers should study these communities using complex system methods; engineers should explicitly design artificial intelligence for human-machine and machine-machine interactions; and regulators should govern the ecological diversity and social co-development of humans and machines.

Evolution of the “4-D Approach” to Dynamic Vision for Vehicles

Spatiotemporal models for the 3-D shape and motion of objects allowed large progress in the 1980s in visual perception of moving objects observed from a moving platform. Despite the successes demonstrated with several vehicles, the “4-D approach” has not been accepted generally. Its advantage is that only the last image of the sequence needs to be analyzed in detail to allow the full state vectors of moving objects, including their velocity components, to be reconstructed by the feedback of prediction errors. The vehicle carrying the cameras can, thus, together with conventional measurements, directly create a visualization of the situation encountered. In 1994, at the final demonstration of the project PROMETHEUS, two sedan vehicles using this approach were the only ones worldwide capable of driving autonomously in standard heavy traffic on three-lane Autoroutes near Paris at speeds up to 130 km/h (convoy driving, lane changes, passing). Up to ten vehicles nearby could be perceived. In this paper, the three-layer architecture of the perception system is reviewed. At the end of the 1990s, the system evolved from mere recognition of objects in motion, to understanding complex dynamic scenes by developing behavioral capabilities, like fast saccadic changes in the gaze direction for flexible concentration on objects of interest. By analyzing motion of objects over time, the situation for decision making was assessed. In the third-generation system “EMS-vision” behavioral capabilities of agents were represented on an abstract level for characterizing their potential behaviors. These maneuvers form an additional knowledge base. The system has proven capable of driving in networks of minor roads, including off-road sections, with avoidance of negative obstacles (ditches). Results are shown for road vehicle guidance. Potential transitions to a robot mind and to the now-favored CNN are touched on.

Moral Imagination for Engineering Teams: The Technomoral Scenario

“Moral imagination” is the capacity to register that one’s perspective on a decision-making situation is limited, and to imagine alternative perspectives that reveal new considerations or approaches. We have developed a Moral Imagination approach that aims to drive a culture of responsible innovation, ethical awareness, deliberation, decision-making, and commitment in organizations developing new technologies. We here present a case study that illustrates one key aspect of our approach – the technomoral scenario – as we have applied it in our work with product and engineering teams. Technomoral scenarios are fictional narratives that raise ethical issues surrounding the interaction between emerging technologies and society. Through facilitated roleplaying and discussion, participants are prompted to examine their own intentions, articulate justifications for actions, and consider the impact of decisions on various stakeholders. This process helps developers to reenvision their choices and responsibilities, ultimately contributing to a culture of responsible innovation

A field study of donor behaviour in the Iranian kidney market

Iran has the world’s only government-regulated kidney market. We report the results of the first field study of donor behaviour in this unusual market. Participants have lower risk tolerance and higher patience levels than the Iranian average but display no difference in rationality from population averages and there is evidence of altruism among participants. We provide an examination of decision-making in extreme situations by individuals in this market, typically at the very bottom of the income distribution, and shed light on the sort of people likely to participate if other nations were to operate such markets.

Centro de Pesquisa Operacional do COMGAR - Modelos matemáticos para apoio à decisão

The article discusses the importance of Operational Research (OR) in the Air Command (COMAER), emphasizing the need for mathematical models to support quick and precise decision-making in operational environments. OR is presented as a science that seeks to optimize decisions in complex and uncertain situations, utilizing techniques that include Combat Theory, Network Flow, Game Theory, and Simulation. The text suggests the establishment of an Operational Research Center at COMGAR, which could provide specialized support and training for military personnel, promoting a more rational use of resources. The implementation of such models is seen as essential to improve the efficiency and effectiveness of air operations.