نتایج جستجو برای: multiple attribute decision makingmadm

تعداد نتایج: 1132010  

1999
Jian Ma Zhiping Fan

Multiple Attribute Decision Making (MADM) refers to the problem of selecting among alternatives associated with multiple, usually conflicting, attributes. Based on incomplete preference information on alternatives given by the Decision Maker (DM), this paper proposes an mathematical programming approach to solve the MADM problem. To reflect the DM’s preference information, an optimization model...

بشیری, مهدی, حسینی‌نژاد, سیدجواد ,

Privatization for improving the quality of public services is a major challenge for many countries. In this study, we propose a methodology for privatization of government sector's services based on Multiple Attribute Decision Making (MADM) techniques. Since uncertainty in information usually exists in decision making environment, fuzzy set theory concepts are used to make the final decisions. ...

2015
Guiwu Wei Linggang Ran Xianping Jiang

The aim of this paper is to investigate the fuzzy number intuitionistic fuzzy multiple attribute decision making problems based on the fuzzy number intuitionistic fuzzy sets and Geometric Bonferroni mean operator. Then, we have proposed two aggregation operators: fuzzy number intuitionistic fuzzy geometric Bonferroni mean (FNIFGBM) operator and fuzzy number intuitionistic fuzzy weighted geometr...

2011
Xiaoyun Yue Baofeng Li Guanchen Zhou

In this paper, we investigate the uncertain linguistic multiple attribute decision making problems to deal with the supplier selection in supply chain management with incompletely known weights information. We developed a multiple attribute decision making method to select supplier in uncertain linguistic setting, by which the attribute weights can be determined. We utilize the uncertain lingui...

2015
Guiwu Wei

In this paper, we investigate the multiple attribute decision making (MADM) problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the gene...

2016
Jiao Li Dong Hu Chao Tang Jufang Xie

As a fuzzy set extension, the hesitant set is effectively used to model situations where it is allowable to determine several possible membership degrees of an element to a set due to the ambiguity between different values. Some new hesitant fuzzy operational rules are introduced based on the Hamacher t-conorm and t-norm, whereby we present a multi attribute decision making method under hesitan...

2017
Hui Lin Zhou-Jing Wang

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evalu...

2014
Yanbing Ju Dawei Ju Wenkai Zhang Xia Li

In engineering design, the decision to select an optimal material has become a challenging task for the designers, and the evaluation of alternative materials may be based on some multiple attribute group decision making (MAGDM) methods. Moreover, the attributes are often inter-dependent or correlated in the real decision making process. In this paper, with respect to the material selection pro...

2014
Rajkumar Verma Bhu Dev Sharma

The prioritized weighted average (PWA) operator was originally introduced by Yager. The prominent characteristic of the PWA operator is that it takes into account prioritization among attributes and decision makers. Motivated by the idea of PWA operator, we develop some prioritized weighted aggregation operators for aggregating trapezoid fuzzy linguistic information. The properties of the new a...

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