which to build inclusive and exclusive social networks determined by the different expectations and preferences of their users. Social networks are generated using a selforganizing map to cluster the decision makers (DMs) by their friendship acceptance behavior. We analyze the effects on the cluster structure of the resulting social network that follow from modifying the distribution of request...

Every individual makes decisions with a different mindset. Emotional-Intelligence is key for every leader working in the prevalent work settings era of technological revolution. Experts have categorized impact emotional intelligence (EI) into Personal (PEI) and Social (SEI). The theoretical model decision-making styles (DMS) includes ‘People-oriented’ ‘Task-oriented’ decision making (PDMS &...

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

The impact of COVID-19 on the global outbreak supply chain is enormous. It crucial for governments to take policy recommendations enhance resilience mitigate negative COVID-19. For such a major issue, it common occurrence that large number decision-makers (DMs) are invited participate in decision-making process so as ensure comprehensiveness and reliability decision results. Since attitudinal c...

Abstract: This paper studies the multiple attribute group decision making problems, in which the decision makers (DMs) have multiplicative preference information on alternatives. We first make the decision information uniform by using a transformation formula and introduce some linear deviation elements, and then establish a constrained optimization model. Based the model, an approach is develo...

The basic DEA model experiences the weights flexibility problem which is resolved by the method of weight restrictions. The current research incorporating Decision Makers’ (DMs) preferences into weight restrictions is subject to serious limitations such as lacking a framework for dual role factors and not incorporating organizational hierarchy in decision-making. The proposed Genetic Algorithm ...

Modern decision making problems are discrete and multicriteria by nature, and involve several decision makers (DMs). One of the key questions in this type of problems is how the preferences of the DMs can be modelled. Usually the DMs are not sure of their preferences or will not tell them to the analyst, because they are not able to express their preferences directly. In these type of situation...

The fuzzy preference framework of Graph Model for Conflict Resolution (GMCR), handling both crisp and fuzzy preferences of decision makers (DMs), is capable of calculating and predicting different conflict resolutions (equilibria) according to DMs’ different satisficing criteria. Employing this methodology, a water contamination conflict occurs at the boundary of Jiangsu and Zhejiang provinces ...

A conflict analysis framework with fuzzy preference can be utilized to model and analyze conflicts in which decision makers (DMs) hold unclear or ambiguous preferences. One important function of this framework is that it can predict different conflict resolutions based on DMs’ different fuzzy satisficing thresholds. The fuzzy preference conflict analysis framework extends the option prioritizat...