期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 39, 期 2, 页码 2026-2034出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.08.031
关键词
Multiple attribute group decision making (MAGDM) problems; Intuitionistic fuzzy values; Interval-valued intuitionistic fuzzy values; Induced correlated aggregating operators; Induced interval-valued correlated aggregating operators
类别
资金
- Natural Science Foundation of the People's Republic of China [2011BA0035]
- Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [09XJA630010]
- China Postdoctoral Science Foundation [20100480269]
In this paper, some multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights are usually correlative, attribute values take the form of intuitionistic fuzzy values or interval-valued intuitionistic fuzzy values, are investigated. Firstly, some operational law, score function and accuracy function of intuitionistic fuzzy values or interval-valued intuitionistic fuzzy values are introduced. Then two new aggregation operators: induced intuitionistic fuzzy correlated averaging (I-IFCA) operator and induced intuitionistic fuzzy correlated geometric (I-IFCG) operator are developed and some desirable properties of the I-IFCA and I-IFCG operators are studied, such as commutativity, idempotency and monotonicity. An I-IFCA and IFCA (intuitionistic fuzzy correlated averaging) operators-based approach is developed to solve the MAGDM problems in which both the attribute weights and the expert weights usually correlative, attribute values take the form of intuitionistic fuzzy values. Then, we extend the developed models and procedures to the interval-valued intuitionistic fuzzy environment. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.
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