Intuitionistic Fuzzy Linguistic Induced Ordered Weighted Averaging Operator for Group Decision Making-Reference-Cited by-同舟云学术

Intuitionistic Fuzzy Linguistic Induced Ordered Weighted Averaging Operator for Group Decision Making

Published:2015-08 Issue:04 Volume:23 Page:627-648
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

Xian Sidong¹,Xue Wenting¹,Zhang Jianfeng²,Yin Yubo¹,Xie Qin¹

Affiliation:

1. College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China

2. College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China

Abstract

With respect to multiple attribute group decision making (MAGDM) problems, in which the attribute weights take the form of real numbers, and the attribute values take the form of intuitionistic fuzzy linguistic variables, a decision analysis approach is proposed. In this paper, we develop an intuitionistic fuzzy linguistic induce OWA (IFLIOWA) operator and analyze the properties of it by utilizing some operational laws of intuitionistic fuzzy linguistic variables. A new method based on the IFLIOWA operator for multiple attribute group decision making (MAGDM) is presented. Finally, a numerical example is used to illustrate the applicability and effectiveness of the proposed method.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488515500270

Reference37 articles.

1. Fuzzy sets

2. Intuitionistic fuzzy sets

3. Families of OWA operators

4. On ordered weighted averaging aggregation operators in multicriteria decisionmaking

5. Induced aggregation operators

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