نتایج جستجو برای: fuzzy ranking technique

تعداد نتایج: 723546  

Journal: :Expert Syst. Appl. 2011
Xiaobing Yu Shunsheng Guo Jun Guo Xiaorong Huang

E-alliance is the union of e-commerce and its success and efficiency is related to comprehensive quality of e-commerce. Thus, ranking e-commerce websites in e-alliance is of importance, which is a multi-criteria decision-making (MCDM) problem. This paper proposes an evaluation model based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal ...

2014
Madhushi Verma

Constrained shortest path problem (CSPP) is an NPComplete problem where the goal is to determine the cheapest path bounded by a given delay constraint. This problem finds application in several fields like television and transportation networks, ATM circuit routing, multimedia applications etc. In these kinds of applications it is important to provide quality of service (QoS). Therefore, it is ...

2012
Luu Quoc Dat Vincent F. Yu Shuo-Yan Chou

Ranking fuzzy numbers plays a very important role in the decision process, data analysis, and applications. The last few decades have seen a large number of methods investigated for ranking fuzzy numbers. The most commonly used approach for ranking fuzzy numbers is ranking indices based on the centroids of fuzzy numbers. However, there are some weaknesses associated with these indices. This pap...

Journal: :Expert Syst. Appl. 2015
Jolly Puri Shiv Prasad Yadav

Keywords: Fuzzy DEA Intuitionistic fuzzy DEA Optimistic and pessimistic performance Ranking methods Bank branch efficiency a b s t r a c t Intuitionistic fuzzy set (IFS) is an extension of fuzzy set and an approach to define a fuzzy set where available information is not sufficient to define an imprecise concept by means of a conventional fuzzy set. The existing fuzzy DEA (FDEA) models for meas...

Journal: :iranian journal of optimization 0
s.h nasseri department of mathematics, university of mazandaran, babolsar, iran e. darban jafari department of mathematics, university of mazandaran, babolsar, iran. r. chameh department of mathematics, university of mazandaran, babolsar, iran.

many ranking methods have been proposed so far. however, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different ranking for the same situation. for overcoming the above problems, we propose a new method for ranking fuzzy quantities based on ...

Journal: :journal of optimization in industrial engineering 2011
samareh moradpour sadoullah ebrahimnejad esmaeil mehdizadeh arash mohamadi

multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this researc...

Journal: :Int. J. Computational Intelligence Systems 2016
I. Feki X. Feng Adel Ghith Ludovic Koehl F. Msahli F. Sakli

The assessment of goods quality using experts is costly task in addition to their often unavailability. In this paper, we present a new method for ranking physical features of consumer goods according to their relevancy to multiple evaluators’ perception at different levels and selecting the most important ones for quality characterization. The main contribution of the paper is combining of fuz...

Journal: :مدیریت صنعتی 0
بهنام مولوی کارشناس ارشد مهندسی صنایع، گرایش سیستم، دانشگاه آزاد اسلامی، واحد نجف آباد، اصفهان، ایران مجید اسماعیلیان استادیار گروه مدیریت دانشگاه اصفهان، ایران رضا انصاری استادیار گروه مدیریت دانشگاه اصفهان، ایران

in this context and for helping to manufacturing industries in this research an attempt has been made to provide a method to managers of evaluating and ranking of agility strategies by using of a fuzzy inference system which is a branch of artificial intelligence. this research has been performed in three sequential phases. firstly, some variables, as factors of agility drivers, agility capabil...

Ranking fuzzy numbers plays a very important role in decision making and some other fuzzy application systems. Many different methods have been proposed to deal with ranking fuzzy numbers. Constructing ranking indexes based on the centroid of fuzzy numbers is an important case. But some weaknesses are found in these indexes. The purpose of this paper is to give a new ranking index to rank vario...

2010
Amit Kumar Pushpinder Singh Amarpreet Kaur

Ranking of fuzzy numbers play an important role in decision making, optimization, forecasting. In fuzzy decision making problems fuzzy numbers must be ranked before an action is taken by a decision maker. Chen and Li have proposed on “Representation, ranking, and distance of fuzzy number with exponential membership function using grade mean integration method" by ranking index for ranking expon...

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