Paper Title:
Method of Multi-Attribute Decision Making for Interval-Valued Intuitionistic Fuzzy Sets Based on Mentality Function
  Abstract

This paper has summarized the current ranking method for interval-valued intuitionistic fuzzy numbers, and then through the introduction of decision-makers’ mentality indicator, presented a new ranking method for interval-valued intuitionistic fuzzy numbers based on mentality function. Not only the nature of mentality function is deeply discussed but also the decision-making model based on the interval-valued intuitionistic fuzzy numbers is constructed. At last, an example is illustrated to prove the model's accuracy and effectiveness.

  Info
Periodical
Edited by
Ran Chen
Pages
1075-1079
DOI
10.4028/www.scientific.net/AMM.44-47.1075
Citation
L. Z. Shen, G. B. Li, W. B. Liu, "Method of Multi-Attribute Decision Making for Interval-Valued Intuitionistic Fuzzy Sets Based on Mentality Function", Applied Mechanics and Materials, Vols. 44-47, pp. 1075-1079, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shi Jun Zhang, Yuan Cai
Abstract:A new method was proposed to solve multi-attribute group decision-making problems with natural language assessment information. In this...
1130
Authors: Ya Chen Liu, Wan Bo Liu, Meng Xiao Sun
Chapter 4: Innovation of Regional Urban and Town Planning System
Abstract:Abstract: Commercial real estate is the real estate primarily used for commercial. This paper proposes using the multi-attribute group...
1920
Authors: Hong Li, Zhong Yao
Chapter 3: Intelligent Manufacturing and Industrial Informatics
Abstract:In order to make Construction project risk decision under multiple objectives and high uncertainty, this paper adopts grey multi-objective...
323
Authors: Er Dong Han, Peng Guo
Chapter 5: Solutions in Industrial Engineering, Technology and Management
Abstract:In order to solve multiple attribute group decision making problems with multi-granularity uncertain linguistic assessment information, where...
386