Titlebook: Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets; Shuping Wan,Jiuying Dong Book 2020 Springer Natur

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書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets讀者反饋




書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets讀者反饋學(xué)科排名

鞭打

機(jī)構(gòu)

Interval-Valued Intuitionistic Fuzzy Mathematical Programming Method for Hybrid Multi-criteria Grouplications. The purpose of this chapter is to develop a novel interval-valued intuitionistic fuzzy (IVIF) mathematical programming method for hybrid MCGDM considering alternative comparisons with hesitancy degrees. The subjective preference relations between alternatives given by each decision maker

知識分子

A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets,lity and react faster to market demands. In the cloud service selection, several experts may be invited and many attributes (indicators or goals) should be considered. Therefore, the cloud service selection can be regarded as a kind of Multi-attribute group decision making (MAGDM) problems. This cha

neutrophils

Aggregating Decision Information into Interval-Valued Intuitionistic Fuzzy Numbers for Heterogeneoueen proposed for various MAGDM problems, nevertheless, very few studies?focus on the aggregation techniques of intuitionistic fuzzy information. The aim of this chapter is to aggregate decision information into interval-valued intuitionistic fuzzy numbers (IVIFNs) to solve heterogeneous MAGDM proble

Vaginismus

A Novel Method for Group Decision Making with Interval-Valued Atanassov Intuitionistic Fuzzy Prefer) and develops a novel method for solving such problems. A new consistency index of an Atanassov intuitionistic fuzzy preference relation (AIFPR) is introduced to judge the consistency of an AIFPR and then a convergent iterative Algorithm I is designed to repair the consistency of an AIFPR with unac

Vaginismus

Additive Consistent Interval-Valued Atanassov Intuitionistic Fuzzy Preference Relation and Likelihoference relations (IVAIFPRs) and likelihood comparison algorithm. Firstly, the likelihood of IVAIF values (IVAIFVs) is defined by the likelihood of intervals. Then a likelihood comparison algorithm is designed to rank IVAIFVs. According to the additive consistent interval fuzzy preference relation,

CROW

A Group Decision-Making Method Considering Both the Group Consensus and Multiplicative Consistency stic fuzzy (IVIF) preference relations (IVIFPRs). First, the mean and variance of IVIF values (IVIFVs) are defined and a ranking method for IVIFVs is proposed considering the risk attitude of the expert. Then, the group consensus is presented by the individual similarity between experts. An iteratio

elucidate

A Possibility Degree Method for Interval-Valued Intuitionistic Fuzzy Multi-attribute Group Decisiongrated by using the hybrid weighted average operator of IVIFNs. The ranking orders of alternatives are generated according to the collective overall attribute values. A numerical example is examined to illustrate the proposed method and the comparison analysis demonstrates the effectiveness and flex

抱負(fù)

,A New Method for Atanassov’s Interval-Valued Intuitionistic Fuzzy MAGDM with Incomplete Attribute Wctively, we construct a multi-objective interval-programming model that is solved by transforming it into a linear program. The ranking order of alternatives is generated by the comprehensive interval values of alternatives. Finally, an example of a research and development (R & D) project selection