A complete ranking of incomplete interval information

被引：24
作者：
Sivaraman, Geetha [1 ,2 ]
Nayagam, V. Lakshmana Gomathi [2 ]
Ponalagusamy, R. [2 ]
机构：
[1] Dept Sci & Technol, WOS A, New Delhi 110016, India
[2] Natl Inst Technol, Dept Math, Tiruchirappalli 620015, Tamil Nadu, India
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2014年 / 41卷 / 04期
关键词：
Information system; Interval-valued intuitionistic fuzzy numbers; Membership and nonmembership score functions; Vague and precise score functions; MULTIATTRIBUTE DECISION-MAKING; FUZZY; OPERATORS; SETS;
D O I：
10.1016/j.eswa.2013.08.090
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The information received from a source, represented by an information system, involves quantitative, qualitative and incomplete information. Such incomplete information are fed into the intelligent system for enhancing accuracy using interval-valued intuitionistic fuzzy numbers (IVIFN). Ranking of IVIFN is an important component of any incomplete interval information system. But existing techniques do not give complete information about alternatives in some cases. In this paper, a new method for complete ranking of incomplete interval information using axiomatic set of membership, non membership, vague and precise score functions to IVIFN is proposed and compared with existing techniques using an illustrative example. (C) 2013 Elsevier Ltd. All rights reserved.
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收藏
页码：1947 / 1954
页数：8
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