Different Types Of Decision-making Research Articles

Group Decision Making in Multiobjective Optimization: A Systematic Literature Review

AbstractGroup decision making has been studied from several viewpoints and a variety of methods has been proposed. However, in the literature on solving multiobjective optimization problems, the main focus has been on supporting a single decision maker. We conducted a systematic literature review to examine and synthesize the state-of-the-art of multiobjective optimization methods developed for group decision making. We analyze group decision making methods of multiobjective optimization according to how preferences of several decision makers are incorporated into the solution process, how to select the most preferred solution for the group, different types of decision makers, types of groups and how the group is to operate during the solution process. In addition, we identify the key issues in the literature that are required to be considered in further method development to increase the methods’ applicability in solving real-world problems. Finally, we guide how to select a method for solving real-world multiobjective optimization problems with multiple decision makers and suggest future research directions.

A utility-based three-way group decision consensus model with overlapping subgroups

This paper introduces a relative utility function-based consensus method for three-way group decision (TWGD) in a social network scenario where overlapping subgroups and non-overlapping subgroups co-exist. Firstly, we construct a three-way decision (TWD) model rooted in utility theory, which proposes a novel objective calculation method for the relative utility functions based on evaluation values. The relative utility matrices of decision makers (DMs) are derived on this basis. Secondly, a utility and trust-driven overlapping clustering algorithm is designed to maximize the overall trust level and the difference between subgroup clustering centers, aiming to divide the group into several manageable subgroups. In addition, we identify contrarian DMs, triggering a delegation-exit mechanism, and determine the weights of subgroups and DMs. Thirdly, a three-way group consensus decision model is formulated to provide targeted adjustment strategies for different types of DMs. To improve group consensus, we address the influence of key DMs on the opinions of overlapping subgroups with a minimum adjustment consensus model. Finally, we demonstrate the feasibility and scientificity of the proposed method through the illustrative example, sensitivity analysis, and comparative analysis.

An Emergency Decision-Making Method for Coal Spontaneous Combustion Based on Improved Prospect Theory

In response to the limited available information during the initial stages of coal spontaneous combustion and the influence of decision makers’ risk preferences on decision-making, this paper proposes an emergency decision-making method for coal spontaneous combustion that integrates grey correlation degree and TOPSIS with an enhanced prospect theory. Firstly, a normalized weighted evaluation matrix is established for the emergency response plan of coal spontaneous combustion, and the entropy method is utilized to determine the weights of various indexes. Then, considering the imperfect rationality of decision makers and their diverse individual risk preferences, they are categorized into three types: risk-seeking type, risk-neutral type, and risk-averse type. The corresponding risk coefficients are determined based on these different types. Positive and negative ideal solutions are taken as reference points, and matrices representing gains and losses are constructed. The grey correlation degree is introduced to calculate both positive and negative prospect values based on these matrices. Moreover, the prospect value for each emergency response plan is calculated, respectively, based on different types of decision makers, and the entropy method is used to assign weights to decision makers according to their respective risk preferences. Consequently, based on these prospect values and the weights, comprehensive prospect values for each emergency response plan are obtained and ranked to identify the optimal one. Finally, in order to validate the effectiveness of our proposed approach, a case study is conducted, and the results obtained from this case study are discussed and compared with those from other methods.

Dynamic inconsistency under ambiguity: An experiment

This paper experimentally investigates the potential existence of dynamically inconsistent individuals in a situation of ambiguity. The experiment involves participants making two sequential decisions concerning the allocation of a sum of money, with an ambiguous move by Nature occurring after first decision, and again after the second. We conducted two between-subject sessions: one incentivised and one unincentivised. By analysing the resulting data, we are able to classify participants into four distinct decision-making types: Myopic, Resolute, Sophisticated and Expected Utility (EU). Our results suggest that a significant proportion of the participants do not exhibit dynamic inconsistency being either Resolute, Sophisticated or EU. We discuss how monetary incentives can change the dynamic consistency of decision-makers and the salience of the Ambiguity. Differently from the incentivised treatment, we detect a slight increase of the proportion of Myopic behaviour in the hypothetical case, suspecting that incentives might affect dynamic consistency. A noteworthy observation is that, in the majority of cases, ambiguity tends to simplify to risk in the absence of monetary incentives. These findings have implications for economic decision-making and policymaking. By identifying the different types of decision-makers and understanding how they make choices, we can develop more effective strategies to promote desirable outcomes.

Association of Socio-Psychological Factors on Decision Making Process of Kvk Officials in Odisha

The role of research and extension system in delivery of appropriate technology to the farmers has been looked at as the most important input for furthering agricultural production. Therefore, considering the requirement of developing the capacity of the farmers and reducing the time lag between technology generation and technology application at farmer’s field; the idea of establishing KVK under the leadership of Dr. Mohan Singh Mehta appointed by ICAR in 1973 took place. The present study is an exploratory survey design undertaking 125 respondents comprising of Sr. Scientist & Head, Scientists, Program Assistants and Farm managers selected randomly from 33 KVKs across the state. The findings of the study revealed that majority of the respondents (56.80%) were middle aged, 64 per cent of them were male officials and (68.00%) of the sample reported to experience moderate level of Job Satisfaction, Job Autonomy and Organizational Stress. Further, Organizational Climate (76.00%) and the Level of Job Management (72.00%) of the KVK was also reported to be moderate. The average gap in participation was maximum in identifying the problem/needs (38.40%) and policy decisions (39.40%) among the all the different stages of decision-making and types of decision-making respectively. Further, it was observed that Professional Experience, Organizational Stress, Job Autonomy and Level of Job Management was strongly associated with extent of Participation in different types of Decision-making. The findings also revealed that Level of Job Management was found to be associated with participation in different stages of decision-making.

Diverging lay intuitions about concepts related to free will in arbitrary and deliberate decisions.

Philosophical accounts of free will frequently appeal to deliberate, consequential, and purposeful decisions. However, some recent studies have found that laypeople attribute more freedom to arbitrary than to deliberate decisions. We hypothesized that these differences stem from diverging intuitions about concepts surrounding free will-especially freedom, being in control, and the ability to decide otherwise. In two studies, we found that laypeople attributed high levels of free will, freedom, and control to both arbitrary and deliberate decisions. However, subjects surprisingly attributed reduced ability to decide otherwise when faced with an "easy" decision with one clearly superior option. Furthermore, laypeople attributed greater free will, freedom, and control to "easy" than "hard" decisions with no clearly superior option. Our results suggest that laypeople have diverging intuitions about these different, free-will-related concepts. Therefore, a scientific account of free will may require integrating results from studies on different types of decision-making.

Assessing the Potential of “Mobility as a Service” in Passenger Maritime Transport

This article assesses the potential of Mobility as a Service in passenger maritime transport from the supply perspective by collecting and analyzing data provided by interviews to key experts in passenger transport from both industry and academia. “Mobility as a service” in passenger maritime transport (also in this article referred as “Maritime MaaS”) describes the integration of passenger maritime services with land mobility into a single mobility service delivered through a unique platform for planning, booking, ticketing, and payment. The scope of this article is to explore the potential interest of mobility service providers to develop a MaaS that has as a backbone coastal shipping at the Aegean Archipelagos, in Greece. The Maritime MaaS ecosystem with its key actors is identified, while the perceived challenges, opportunities, and benefits envisaged by the adaptation of this innovative concept from urban transport to the maritime sector are recorded. Computer-assisted interviews were performed at a panel of 17 experts representing different types of decision makers. Participants were selected according to their current industry position or their academic profile. A content analysis with the use of NVIVO was conducted, followed by a SWOT (strengths, weaknesses, opportunities, and threats) analysis based on the experts’ input, in order to assess the MaaS business environment. Results indicate that the maritime transport sector is relatively ready to adopt MaaS from a technological readiness perspective, while land transport seems to be in a lower level of technological readiness. PAYG (pay as you go) MaaS business model is preferred than a “MaaS package” model by most stakeholders. Finally, main challenges toward MaaS implementation are the discrepancies in reliability of service among different transport modes and the ferry fleet operational flexibility ceilings that are imposed by legal framework for ferry routings in Greece.

The Warta River with humanistic coefficient. Culture-forming functions of alcohol consumption in the riverside areas in Poznan

Summary The aim of the article is to apply the concept of the humanistic coefficient of Florian Znaniecki to the analysis of a specific legal and social situation that enabled the legal consumption of alcohol in the Warta areas in Poznan. They have gained a high spatial value, and this is not due to intentional investments or architectural changes, but thanks to the presence of people who create various types of social systems. Znaniecki’s humanistic coefficient turns out to be not only an important theoretical concept, but also a useful, still valid tool in empirical analysis. It brings a large dose of practical knowledge for different types of decision makers (re)organizing urban areas. The spatial value does not have to be directly proportional to the size of financial outlays.

Neuronal Circuits for Social Decision-Making and Their Clinical Implications.

Social living facilitates individual access to rewards, cognitive resources, and objects that would not be otherwise accessible. There are, however, some drawbacks to social living, particularly when competing for scarce resources. Furthermore, variability in our ability to make social decisions can be associated with neuropsychiatric disorders. The neuronal mechanisms underlying social decision-making are beginning to be understood. The momentum to study this phenomenon has been partially carried over by the study of economic decision-making. Yet, because of the similarities between these different types of decision-making, it is unclear what is a social decision. Here, we propose a definition of social decision-making as choices taken in a context where one or more conspecifics are involved in the decision or the consequences of it. Social decisions can be conceptualized as complex economic decisions since they are based on the subjective preferences between different goods. During social decisions, individuals choose based on their internal value estimate of the different alternatives. These are complex decisions given that conspecifics beliefs or actions could modify the subject’s internal valuations at every choice. Here, we first review recent developments in our collective understanding of the neuronal mechanisms and circuits of social decision-making in primates. We then review literature characterizing populations with neuropsychiatric disorders showing deficits in social decision-making and the underlying neuronal circuitries associated with these deficits.

Deviations of rational choice: an integrative explanation of the endowment and several context effects

People’s choices are often found to be inconsistent with the assumptions of rational choice theory. Over time, several probabilistic models have been proposed that account for such deviations from rationality. However, these models have become increasingly complex and are often limited to particular choice phenomena. Here we introduce a network approach that explains a broad set of choice phenomena. We demonstrate that this approach can be used to compare different choice theories and integrates several choice mechanisms from established models. A basic setup implements bounded rationality, loss aversion, and inhibition in a natural fashion, which allows us to predict the occurrence of well-known choice phenomena, such as the endowment effect and the similarity, attraction, compromise, and phantom context effects. Our results show that this network approach provides a simple representation of complex choice behaviour, and can be used to gain a better understanding of how the many choice phenomena and key theoretical principles from different types of decision-making are connected.

Generalized score functions on interval-valued intuitionistic fuzzy sets with preference parameters for different types of decision makers and their application

In this paper, the interval-valued intuitionistic fuzzy sets (IVIFSs) are studied from the viewpoint of the decision makers’ preference. Firstly, two series of principles are proposed to guide the ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs), and two kinds of illustrative generalized score functions on IVIFSs are proposed according to the newly proposed principles. Secondly, two kinds of generalized score functions on IVIFSs are proposed based on decision-makers’ preference. The two generalized score functions are both of two parameters, which represent the decision makers’ attitudinal characters on the classical score values and the classical accuracy values on IVIFNs, respectively. Thirdly, two kinds of generalized score functions on IVIFSs, which are suitable for ranking IVIFNs when there is no information about the importance weights of the classical score values and accuracy values on IVIFNs, are proposed based on integral. Fourthly, three kinds of multi-criteria decision-making (MCDM) methods in interval-valued intuitionistic fuzzy setting are proposed. Finally, an example shows that when a novel generalized score function on IVIFSs is proposed, its suitable application environments should also be pointed out.

Strategic Bias Shifting: Herding as a Behaviorally Rational Response to Regret Aversion

In this article, we show experimentally that individuals can adapt their decision making to social environments, like markets, and respond strategically to biases, such as regret aversion. We find they can employ herding as a behaviorally rational strategy to improve their expected outcomes and shift anticipated regret when regret would otherwise bias them towards a suboptimal status quo. Herding can improve decision making when people observe the choices of professionals and businesses, who are less likely to be biased by regret. Focusing on others’ choices can allow decision makers to shift their reference point, and their bias, to favor their optimal choice. We find that decision makers exploit this process to shift their bias strategically. They seek information when their reference point is not optimal, but block it otherwise. They also strategically select among different types of decision makers and focus on those that made the better decision. Our research suggests that decision makers employ strategies to reduce the welfare effects of biases in certain domains. Policy responses may support private ordering by seeking to complement, rather than substitute for, these strategies.

Strategic Bias Shifting: Herding as a Behaviorally Rational Response to Regret Aversion

In this article, we show experimentally that individuals can adapt their decision-making to social environments, like markets, and respond strategically to biases, such as regret aversion. We find they can employ herding as a behaviorally rational strategy to improve their expected outcomes and shift anticipated regret when regret would otherwise bias them towards a suboptimal status quo. Herding can improve decision-making when people observe the choices of professionals and businesses, who are less likely to be biased by regret. Focusing on others’ choices can allow decision makers to shift their reference point, and their bias, to favor their optimal choice. We find that decision makers exploit this process to shift their bias strategically. They seek information when their reference point is not optimal, but block it otherwise. They also strategically select among different types of decision makers and focus on those that made the better decision. Our research suggests that decision makers employ strategies to reduce the welfare effects of biases in certain domains. Policy responses may support private ordering by seeking to complement, rather than substitute for, these strategies.

Resting-state EEG power predicts conflict-related brain activity in internally guided but not in externally guided decision-making

Most experimental studies of decision-making have specifically examined situations in which a single correct answer exists (externally guided decision-making). Along with such externally guided decision-making, there are instances of decision-making in which no correct answer based on external circumstances is available for the subject (internally guided decision-making, e.g. preference judgment). We compared these two different types of decision-making in terms of conflict-monitoring and their relation with resting-state brain activity. Current electroencephalography (EEG) data demonstrated that conflict-related N2 amplitudes (i.e., difference between large-conflict and small-conflict conditions) in externally guided decision-making were modulated by the type of external stimulus (i.e., large-conflict stimulus pair or small-conflict stimulus pair) but were not found to be correlated with resting-state brain activity (i.e. resting-state EEG power). In contrast, conflict-related N2 amplitudes in internally guided decision-making were found to be correlated with resting-state brain activity, but were not found to be modulated by the type of stimulus itself: the degree to which the type of external stimulus modulates the conflict during stimulus encoding varies according to individual differences in intrinsic brain activity. Considering those results comprehensively, we demonstrate for the first time resting-state and stimulus-related differences between externally and internally guided decision-making.

A two-stage robust programming approach to demand-driven disassembly planning for a closed-loop supply chain system

The closed-loop supply chain system, which integrates forward and reverse logistics, is a desirable policy for retaining recoverable resources and extending the life cycles of products. In this study, we propose a methodology to contend with a demand-driven disassembly planning problem under a closed-loop supply chain system. A two-stage robust programming model is developed correspondingly, such that multiple products with a hierarchical product's structure are disassembled to satisfy uncertain demands in multiple periods. The objective of the model is to determine a robust decision for recycle volume and timing of each type of end-of-life (EOL) product, as well as recovery strategies. The results provide two-stage decisions by considering future scenarios of periodic demands at the beginning of a planning horizon. The first-stage decision is to determine a compromise solution that is close to the optimal solution for every scenario while retaining a certain level of infeasibility of constraints, such as unsatisfied demand. Afterward, when the outcome of a scenario has been realised, the second-stage decision, such as, inventory volume, is conducted to become a buffer for mitigating uncertain impacts. Furthermore, the computational results confirm the trade-off relationship between solution robustness and model robustness, which are core results of the robust model apart from expected profit. The different types of decision makers’ preferences toward risk can be accounted for to determine a compromise robust solution.

Fuzzy Flexible Delivery and Pickup Problem with Time Windows

Recently, many enterprises have incorporated reverse logistics into conventional forward-only logistics to form a closed-loop supply chain. Within such a loop, the logistics between the distribution/collection center and the customers is the most complicated part because it is related to a bi-directional logistics for delivery and pickup activities. After investigating their uncertainty properties and complexities in finding solutions, this study, based on the fuzzy credibility theory, proposes a chance constrained programming (CCP) model to describe a fuzzy flexible delivery and pickup problem with time windows (FFDPPTW).In the meantime, some test problems are generated by revising the well-known Solomon's benchmarks which are originally used for the vehicle routing problem with time windows. Cplex software is used to try to solve these problems. Three credibility confidence levels (0.5, 0.8, and 1.0) are implemented to get different results for different types of decision makers. The preliminary results reveal the phenomenon: the higher the confidence level is required, the larger the cost is paid. This observation facilitates the decision support based on the decision maker's preference.

Resting-state EEG power predicts conflict-related brain activity in internally guided but not in externally guided decision-making

Most experimental studies of decision-making have specifically examined situations in which a single correct answer exists (externally guided decision-making). Along with such externally guided decision-making, there are instances of decision-making in which no correct answer based on external circumstances is available for the subject (internally guided decision-making, e.g. preference judgment). We compared these two different types of decision-making in terms of conflict-monitoring and their relation with resting-state brain activity. Current electroencephalography (EEG) data demonstrated that conflict-related N2 amplitudes (i.e., difference between large-conflict and small-conflict conditions) in externally guided decision-making were modulated by the type of external stimulus (i.e., large-conflict stimulus pair or small-conflict stimulus pair) but were not found to be correlated with resting-state brain activity (i.e. resting-state EEG power). In contrast, conflict-related N2 amplitudes in internally guided decision-making were found to be correlated with resting-state brain activity, but were not found to be modulated by the type of stimulus itself: the degree to which the type of external stimulus modulates the conflict during stimulus encoding varies according to individual differences in intrinsic brain activity. Considering those results comprehensively, we demonstrate for the first time resting-state and stimulus-related differences between externally and internally guided decision-making.

Father- and Mother-Adolescent Decision-Making in Mexican-Origin Families

Understanding the prevalence and correlates of decisional autonomy within specific cultural contexts is necessary to fully comprehend how family processes are embedded within culture. The goals of this study were to describe mothers' and fathers' decision-making with adolescents (M=12.51years, SD=0.58; 51% female), including parent-unilateral, joint, and youth-unilateral decision-making, and to examine the socio-cultural and family characteristics associated with these different types of decision-making in 246 Mexican-origin families. Mothers reported more joint and youth-unilateral decision-making and less parent-unilateral decision-making than did fathers. Fathers reported more youth-unilateral decision-making with sons than with daughters. Further, for mothers, more traditional gender role attitudes and higher levels of mother-adolescent conflict were associated with more parent-unilateral and less joint decision-making. In contrast, for fathers, lower levels of respect values were associated with more youth-unilateral decision-making with sons, and higher levels of parent-adolescent warmth were associated with more youth-unilateral decision-making with daughters. The importance of understanding the different correlates of mothers' and fathers' decision-making with sons versus daughters is discussed.

One model fits all? — On the moderating role of emotional engagement and confusion in the elicitation of preferences for climate change adaptation policies

Environmental economic and psychological studies often implicitly assume homogeneity of respondents' decision strategies in questionnaire-based surveys. However, social psychology and behavioural research suggest that there is a wide variety of approaches that individuals use to make such choices. We explore this heterogeneity against the backdrop of so-called ‘dual process models’, analysing participants' responses in a survey of public beliefs about and preferences for climate change adaptation policies. We find that the postulate of two different types of decision-making, the systematic–analytical and the heuristic–holistic, does indeed help us to understand patterns in respondent behaviour that are, in turn, underpinned by respondents' motivation and ability to process information. Participants who were motivated and able to process the information provided were more likely to express preferences in line with their beliefs about adaptation policies, whereas those less motivated and more confused were more likely to use generalised rules-of-thumb that were not specific to the policy issue at hand. Depending on the theoretical framework of a study, such heterogeneity in response consistency and use of generic rules-of-thumb might have implications for the usefulness of survey outcomes. We discuss the implications of our findings, and draw conclusions for survey-based environmental research.

A Review of Economic Evaluations of Darunavir Boosted by Low-Dose Ritonavir in Treatment-Experienced Persons Living with HIV Infection

Darunavir boosted by low-dose ritonavir (DRV/r), at a daily dose of 600/100 mg twice a day (bid), has been shown to be superior to alternative highly active antiretroviral therapy (HAART) regimens for the management of treatment-experienced, HIV-infected adults in the phase IIb POWER trials and the phase III TITAN trial. Economic analyses of different types that have been performed for several countries to investigate the cost effectiveness and budgetary impact of DRV/r 600/100 mg bid for treatment-experienced people living with HIV (PLHIV) based on the clinical data gathered in the POWER and TITAN trials are reviewed for consistency and their value to different decision-makers is assessed. Cost-utility analyses for the USA and several European countries indicate that DRV/r-based HAART is cost effective compared with other standard of care protease inhibitor (PI)-based regimens in PLHIV with evidence of PI resistance. For all of these countries, the estimated cost-utility ratio is well below typical benchmark values and these ratios are robust, as demonstrated by one-way sensitivity and variability analyses and multi-way probabilistic sensitivity analyses. Studies using other metrics including the average 1-year drug cost per patient with a plasma HIV-RNA level less than 50 copies/mL at 48 weeks, the incremental drug cost per additional patient with a plasma HIV-RNA level less than 50 copies/mL at 48 weeks, the total (antiretroviral and non-antiretroviral) costs during the first year of treatment, and the total healthcare budget impact during the first 5 years of treatment provided further evidence of the positive economic outcomes with the use of DRV/r in treatment-experienced PLHIV. Different measures of economic outcomes are useful for different types of decision-makers and different types of decisions. In general, the results of these different types of analyses will be consistent with each other. For darunavir, the economic analyses reviewed in this paper demonstrate that the use of DRV/r 600/100 mg bid in the management of HIV-infected, treatment-experienced adults who have failed at least one of the other currently available PIs is cost effective and may be cost saving.