Linguistic Extension of Fuzzy Integral for Group Personnel Selection Problem

被引：26
作者：
Afshari, Ali Reza [1 ]
Yusuff, Rosnah Mohd [2 ]
Derayatifar, Amir Reza [3 ]
机构：
[1] Islamic Azad Univ, Dept Ind Engn, Shirvan Branch, Shirvan, Iran
[2] Univ Putra Malaysia, Fac Engn, Dept Mech & Mfg Engn, Serdang 43400, Malaysia
[3] Univ Teknol Malaysia, Sch Grad Studies, Kuala Lumpur, Malaysia
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2013年 / 38卷 / 10期
关键词：
Personnel selection; Multiple criteria decision making; Linguistic variables; Fuzzy integral; Fuzzy measure; MULTICRITERIA DECISION-MAKING; ANALYTIC NETWORK PROCESS; EXPERT-SYSTEM; MCDM APPROACH; TOPSIS; MODEL; ENVIRONMENT; PLACEMENT; GDSS; SETS;
D O I：
10.1007/s13369-012-0491-z
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Qualified Personnel Selection is one of the organization's success factors. Due to the importance and complexity of the problem, analytical methods are required. Different methods in personnel selection are already done in literatures. However, in these methods, the dependency of criteria is ignored. In this paper, a new model is suggested for personnel selection using fuzzy linguistic variables with multi-criteria decision making, and because, in general, dependency may exist among criteria, a new linguistic extension of fuzzy measure and fuzzy integral are proposed and used in the model.
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页码：2901 / 2910
页数：10
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