نتایج جستجو برای: fuzzy mcdm

تعداد نتایج: 91474  

2012
M. THILAGARAJ M. RAJMOHAN

Multicriteria decision making (MCDM) has found many applications in both public and private sector organizations. MCDM is both an approach and a set of techniques, with the goal of providing an overall ordering of options, from the most preferred to the least preferred option. The set of MCDM techniques are implemented in selecting the vendors and 3PL service providers. Supplier selection is a ...

2012
Ritu Chandna

Manufacturing flexibility is the ability of the system to adapt to changes. Manufacturing flexibility is a difficult to quant ify concept. To assist managers in better achieving a flexible enterprise, a model on the basis of fuzzy logic is purposed to provide a means of measuring how flexible an enterprise is. In this approach, the performance ratings and importance weights of different flexibi...

2004
Chung-Tsen Tsao Ta-Chung Chu

Liaiig presented a fuzzy multiple criteria decision making (MCDM) method based on the concepts of ideal and anti-ideal points. Despite its merits, Liang method has the following limitations: ( i ) the objective criteria are converted into dimensionless indices and the subjective criteria are not converted, which may prevent compatibility for these criteria, (ii) the formulas for converting obje...

2013
Alev Taskin Gumus Yesim Yayla Erkan Çelik Aytac Yildiz

In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES) method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and linear normalization based fuzzy Grey Relational Analysis...

2005
K. SRINIVASA RAJU NAGESH KUMAR

Multicriterion decision making (MCDM) has emerged as an effective methodology due to its ability to combine quantitative and qualitative criteria for selection of the best alternative. Concurrently, fuzzy logic is gaining importance due to its flexibility in handling imprecise subjective data. In the present study two fuzzy logic-based MCDM methods, namely similarity analysis (SA) and decision ...

Journal: :Knowl.-Based Syst. 2006
Norman E. Fenton Wei Wang

Recent research has recognised that multicriteria decision making (MCDM) should take account of uncertainty, risk and confidence. This paper takes this research forward by using linguistic variables and triangular fuzzy numbers to model the decision maker’s (DM) risk and confidence attitudes in order to define a more complete MCDM solution. To illustrate the computation process and demonstrate ...

Journal: :Computers & Mathematics with Applications 2009

2000
Ashley Morris Piotr Jankowski

Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static m...

2014
Jia-ting Wu Jian-qiang Wang Jing Wang Hong-yu Zhang Xiao-hong Chen

Based on linguistic term sets and hesitant fuzzy sets, the concept of hesitant fuzzy linguistic sets was introduced. The focus of this paper is the multicriteria decision-making (MCDM) problems in which the criteria are in different priority levels and the criteria values take the form of hesitant fuzzy linguistic numbers (HFLNs). A new approach to solving these problems is proposed, which is b...

Journal: :journal of advances in computer engineering and technology 0
leila yahyaie department of computer, islamic azad university, salmas branch, salmas, iran. sohrab khanmohammadi department of computer engineering, university of tabriz,tabriz, iran.

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

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