Neutrosophic Cognitive Maps Research Articles

A Mathematical Model to Analyze the Role of Uncertain and Indeterminate Factors in the Spread of Pandemics like COVID-19 Using Neutrosophy: A Case Study of India

COVID-19 has been declared as pandemic by WHO This disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) The spread of this virus from Wuhan, China to the rest of the world has led to increasing concerns as it is considered a threat to mankind The present work in situation analysis using neutrosophy identifies factors which should be taken care of so that the spread of this virus can be contained Known factors as put forward by experts together with indeterminate factors which are still not taken into consideration are used to model the situation This work using neutrosophic cognitive maps proves mathematically how these indeterminate and unknown factors are responsible for the spread of COVID-19 in India The Neutrosophic Cognitive Map (NCM) is an enhanced version of Fuzzy Cognitive Map (FCM) since it takes into account the concept of indeterminacy and uncertainty, which is not addressed by FCMs The obtained results not only show the importance of determinate factors (measures taken by the government bodies) in containing the spread of this deadly virus but also show how indeterminate and uncertain factors such as poverty, negligence, ineffectual healthcare, age, immunity, unscientific practices on religious grounds and illiteracy play a vital role in this regard This model, in general, helps policymakers and government agencies to represent any complicated situation mathematically thereby helping them in responding appropriately and forming new policies for dealing with such pandemics This work also signifies how neutrosophic theories can be applied in the analysis of the situation for dealing with real life problems [ABSTRACT FROM AUTHOR] Copyright of Neutrosophic Sets & Systems is the property of Neutrosophic Sets & Systems and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )

Study of Imaginative Play in Children using Neutrosophic Cognitive Maps Model

This paper studies the imaginative play in young children using a model based on neutrosophic logic, viz, Neutrosophic Cognitive Maps (NCMs). NCMs are constructed with the help of expert opinion to establish relationships between the several concepts related with the imaginative play in children in the age group 1-10 years belonging to socially, economically and educationally backward groups. The NCMs are important in overcoming the hindrance posed by complicated and often imprecise nature of psychological or social data. Data was collected by video recording of children playing and the interpretations given by experts. Fifteen attributes / concepts related with children playing with the same toy were observed and according to experts several concepts were related and for some the relations between concepts were indeterminate, so it was appropriate to use NCMs. These NCMs were built using five expert’s opinion and the hidden patterns of them happened to be a fixed point.

Analysis of Technological Innovation Contribution to Gross Domestic Product Based on Neutrosophic Cognitive Maps and Neutrosophic Numbers

Sustained growth and progress towards more equitable societies with better opportunities for all depends on how competitive a country could be, which in turn depends on the productivity of its economic sectors. The study aims to analyze the influence of technological innovation to Ecuador's gross domestic product, using a neutrosophic cognitive map that defines the factors that directly affect technological innovation. The PESTEL framework is used to identify the political, economic, social, technological, ecological, and legal factors that contribute to technological innovation in Ecuador's gross domestic product. For this purpose, a quantitative analysis was carried out based on the static analysis and neutrosophic numbers, which facilitated the applicability of the proposal. The main contribution present work is the analysis of interrelations and uncertainty/indeterminacy for analysis of technological innovation. The results show the importance of political and legal factors related to technological innovation projects to gross domestic products growth in Ecuador. The work ends with the conclusion and recommendations for future work.

An Approach for Study of Traffic Congestion Problem Using Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps-the Case of Indian Traffic

The aim of this paper is to find the reasons for traffic congestion problem and its solution using Neutrosophic Cognitive Maps (NCMs) and Fuzzy Cognitive Maps (FCMs). Fuzzy theory only measures the grade of membership but fuzzy theory has failed to characteristic the perception when the relations between concepts in problems are indeterminate. Addition of concepts of indeterminate situation with fuzzy logic forms the neutrosophic logic. Since, some of the reasons for traffic congestions are indeterminate we use Neutrosophic Cognitive Maps to find a solution. The discussion is based on Indian road scenario.

PESTEL analysis with neutrosophic cognitive maps to determine the factors that affect rural sustainability. Case Study of the South-Eastern plain of the province of Pinar del Río

PESTEL analysis with neutrosophic cognitive maps to determine the factors that affect rural sustainability. Case Study of the South-Eastern plain of the province of Pinar del Río

A framework for PEST analysis based on neutrosophic cognitive map: case study in a vertical farming initiative

Abstract. Recently, neutrosophic cognitive maps and its application in decision making have become a topic of great importance for researchers and practitioners alike. In this paper, a new model PEST analysis is presented based on neutrosophic cognitive maps static analysis. The proposed framework is composed of five activities, identifying PEST factors and sub-factors, modeling interrelation among PEST factors, calculate centrality measures, factor classification, and factors ranking. A case study developed in environment analysis for a vertical farming project was presented, ranking factor based in interrelation and incorporating indeterminacy in the analysis. Further works will concentrate extending the model for incorporating scenario analysis

PEST Analysis Based on Neutrosophic Cognitive Maps: A Case Study for Food Industry

Neutrosophic cognitive maps and its application in decision making have become a topic of great importance for researchers and practitioners alike.PEST (Political, Economic, Social and Technological), analysis is a precondition analysis with the main functions of the identification of the environment within which and organization or project the operates and providing data and information for enabling the organization to make predictions about new situations and circumstances. In this paper, paper, a new model PEST analysis for food industry is presented based on neutrosophic cognitive maps static analysis. The proposed framework is composed of four activities, identifying PEST factors and sub-factors, modeling interrelation among PEST factors, calculate centrality measures and classification andranking. A case study is presented food industry environment analysis. Our approach allows ranking of factors based in interrelation and incorporating indeterminacy in the analysis. Further works will concentrate extending the model for incorporating scenario analysis and group decision making.

Neutrosophic Cognitive Maps for Situation Analysis

There are various factors which lead to the criminal behaviour in humans. Prominent re-searchers monitoring the situation of crime in Nigeria cite poverty, unemployment, family-breakdown, bribing & corruption,lack of co-operation from public and negative perception of police to be the major causesbehind criminal behaviour.The factors likeunderemployment, inadequateequipment, NGOs are not taken into accountby the researchersbecause theseare considered to beindeterminate.To show how these indeterminate factors are actually related to crime in Nigeria we model the situation mathe-matically using FCMs and NCMs.The work also shows how efficient is the technique of Neutrosophic Cognitive Maps (NCM) against Fuzzy Cognitive Maps (FCM) to deal with the uncertainties and inde-terminacyinSituationAnalysis.The obtained results are interpreted which demonstrate the im-portance of indeterminate factors in analysing the situation of crime in Nigeria. This shows how inde-terminate factors when taken into consideration could enhance the accuracy and efficiency of mathe-matical models using the concept of Neutrosophic Cognitive Maps.

Pestel based on neutrosophic cognitive maps to characterize the factors that influence the consolidation of the neo constitutionalism in Ecuador

This paper analyzes the main contradictions existing in Ecuador for the consolidation of neo-constitutionalism, which is considered as; the new legal theory, which seeks to transform the rule of law into the constitutional rule of law, proposing for it; greater state intervention and creation of egalitarian democratic spaces and respect for human rights among state agencies and institutions. For this reason, the objective of this work is to characterize the factors that influence the consolidation of neo-constitutionalism in Ecuador, as an ideological and methodological theory of law. In order to characterize the factors that influence the consolidation of neo-constitutionalism in Ecuador, the PESTEL methodology based on neutrosophic cognitive maps is used, which constitutes a tool for the analysis of the environment that analyzes political, economic, social, technological, ecological and legal factors. A documentary analysis is carried out that deals with the pretentious materials of the institutionalization of neo-constitutionalism in Ecuador, from its contextualization.

Pestel analysis based on neutrosophic cognitive maps and neutrosophic numbers for the sinos river basin management

The Sinos River watershed is one of the most polluted water basins in Brazil with great efforts for its recovery through integral management. PESTEL is an analysis for the study of the external variables with influence in the efficiency of the organization or project. This paper presents a model to address problems encountered in the measurement and evaluation process of PESTEL analysis taking into account interdependencies among sub-factors and modeling uncertainty and indeterminacy in Sinos river basin. A Neutrosophic Cognitive Maps was used for modeling the integrated structure of PESTEL sub-factors. A quantitative analysis was developed based on static analysis and neutrosophic numbers. To demonstrate the applicability of the proposal in the Sinos river external factor analysis a case study is developed. Interdependencies among sub-factors were includes and uncertainty and indeterminacy were modeled in a practical way. Sub-factor was ranked and reduced, with Ecological, Technological and Social are the top three factors. The paper ends with a conclusion and future work recommendations.

PEST Analysis Based on Neutrosophic Cognitive Maps: A Case Study for Food Industry

PEST Analysis Based on Neutrosophic Cognitive Maps: A Case Study for Food Industry

Design of Fuzzy Cognitive Model of Mutual Influence and Connectivity of Innovative Technologies

The article is devoted to research and development of fuzzy cognitive model of mutual influence and connectivity of innovative technologies on the basis of synthesis of interdisciplinary research strategies - foresight methods based on logically transparent mechanisms of interpretation of the solution, expert weighting methods and neutrosophic cognitive maps. Neutrosophic cognitive map of mutual influence and connectivity of innovative technologies is constructed on the basis of data on the nature and intensity of these interactions, allowing to calculate the degree of influence of one or several concepts (technologies), taking into account their state, on the target indicator, and also calculate the fixed state of the concept system. The results of experimental verification and the multiplicative effect of the developed model on the data of expert surveys are described, under conditions of transition to the 6th technological order.

Modelos mentales y mapas cognitivos neutrosóficos Mental models and neutrosophic cognitive maps

In this work, elements related to mental models elicitation and analysis are addressed through causal models. Issues related to the need to include indeterminacy in causal relationships through neutrophic cognitive maps are discussed. A proposal for static analysis in neutrosophic cognitive maps is presented. The following activities are included in the proposal: Calculate, measures of centrality, Classify nodes, De-neutrosification, and Ranking nodes. As future works, the incorporation of new metrics of centrality in neutrosophic cognitive maps is proposed. The inclusion of scenario analysis to the proposal is another area of future work.

A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic Cognitive Maps (CDBNCM)

Quality in primary education has been classified into five factors involving learners, content, processes, environment and outcomes. In this paper we analyzed, quality in primary education in Chennai and find out its solution using Neutrosophic cognitive maps (NCMS), which is the generalization of fuzzy cognitive maps (FCMS) defined by W.B. Vasantha Kandasamy and Florentine Smarandache. This paper has five sections. First section gives information about development of fuzzy cognitive maps and Neutrosophic cognitive maps. Second section gives the preliminaries of FCMS and NCMS. In section three, we give the description of the problem; final section gives the conclusion based on our study.

NCM-Based Raga Classification Using Musical Features

This paper deals with the study of Carnatic raga identification using musical features. In Carnatic music, there are 72 melakartha ragas. Each raga is denoted by musical notes. The musical features of 72 main ragas are extracted. A number of features such as pitch, timbre, tonal, rhythmic features have been discussed with reference to their ability to distinguish different ragas. Due to the intricate nature of Carnatic music, the concept of neutrosophic logic is used to identify each raga. This is because the concept of neutrosophic logic lies in the neutralities present in between truth and false. This creates a component of indeterminacy, which will make raga identification more accurate and smooth. Neutrosophic Cognitive Maps (NCMs) are drawn based on the musical features and solved. Using neutrosophic logic, a reduced set of musical features is arrived for each raga which can be thought of features characterizing the raga. Each raga is classified using a set of musical features which are solutions of NCMs. This paper represents one of the first attempts to classify all 72 melakartha ragas of using neutrosophic logic.

Assessing IT Projects Success with Extended Fuzzy Cognitive Maps & Neutrosophic Cognitive Maps in comparison to Fuzzy Cognitive Maps

Assessing IT Projects Success with Extended Fuzzy Cognitive Maps & Neutrosophic Cognitive Maps in comparison to Fuzzy Cognitive Maps

A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic Cognitive Maps (CDBNCM)

A Study of Quality in Primary Education Combined Disjoint Block Neutrosophic Cognitive Maps (CDBNCM)

A Study on the Exposures of Rag- Pickers using Induced Neutrosophic Cognitive Relational Maps

A Study on the Exposures of Rag- Pickers using Induced Neutrosophic Cognitive Relational Maps

A Study on the Non –Awareness and Impact of Right to Information Act among People in Tamil Nadu region using Neutrosophic Cognitive Maps (Ncms)

In this paper we analyzed the impact of Right to Information Act among public people using Neutrosophic Cognitive Map (NCM) which is the generalization of Fuzzy Cognitive Maps (FCMs). This paper has five sections. First section gives the information about the development of FCM and NCM. Second section gives the preliminaries of FCM’s, NCM’s and methods of determining the hidden pattern of NCM’s. In section three, we give the description of the social issues regarding the non-awareness and impact of RTI. Section four gives adaption of NCM’s to the problem and the final section gives the conclusion based on our study.

A Study on Problems of Hijras in West Bengal Based on Neutrosophic Cognitive Maps

This paper deals with the problems faced by Hijras in West Bengal in order to find its solutions using neutrosophic cognitive maps. Florentin Smarandache and Vasantha Kandasamy studied neutrosophic cognitive map which is an extension of fuzzy cognitive map by incorporating indeterminacy.Hijras is considered as neither man nor woman in biological point of view. They are in special gender identity (third gender) in Indian society. In their daily life, they have to face many of problems in social aspects. Some of the problems namely, absence of social security, education problem, bad habits, health problem, stigma and discrimination, access to information and service problem, violence, Hijra community issues, and sexual behavior problem are considered in this study. Based on the expert's opinion and the notion of indeterminacy, we formulate neutrosophic cognitive map. Then we studied the effect of two instantaneous state vectors separately on connection matrix E and neutrosophic adjacency matrix N(E).