Methods for Individual and Group Decision Making Using Interval-Valued Fuzzy Preference Relations

被引：3
|
作者：
Tripathy, B. K. [1 ]
Sahai, Viraj [1 ]
Kaushik, Neha [1 ]
机构：
[1] VIT Univ, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 2 | 2017年 / 469卷
关键词：
Interval-valued fuzzy preference relations; Group decision making; Individual decision making; Additive consistency; Multiplicative consistency; SETS;
D O I：
10.1007/978-981-10-1678-3_19
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although a lot of research has been done in studying and exploiting, both, interval valued fuzzy sets and intuitionistic fuzzy sets, we still believe a lot more focus is still required on interval-valued fuzzy preference relations (IVFPR). In this paper, our focus shall be IVFPRs as we put forward two algorithms, based on the additive and multiplicative consistencies, to select the best alternative from a certain set of alternatives. Fuzzy preference relations have few advantages in preciseness and consistency as they give the freedom, to the experts, to evaluate the alternatives relatively. Further, we also extend our algorithms to group decision making and demonstrate their efficacy through numerical illustrations.
引用
收藏
页码：197 / 206
页数：10
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