نتایج جستجو برای: outranking matrix

تعداد نتایج: 364935  

Journal: :Journal of Intelligent and Fuzzy Systems 2015
Liuhao Chen Zeshui Xu

The Multiple Criteria Decision Aiding (MCDA) has been a fast growing area of operations research and management science during the last decades, while the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) is one of the well-known MCDA methods with ranking the alternatives from the best to the worst. In this paper, we propose a new outranking method called Prioritized...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده ریاضی 1389

one of the most important number sequences in mathematics is fibonacci sequence. fibonacci sequence except for mathematics is applied to other branches of science such as physics and arts. in fact, between anesthetics and this sequence there exists a wonderful relation. fibonacci sequence has an importance characteristic which is the golden number. in this thesis, the golden number is observed ...

2009
Li Lun Poh Kim Leng

The Analytic Hierarchy Process (AHP) model was designed by Thomas L.Saaty (Saaty, 1980) in 1970s as a decision making aid. It is especially suitable for complex decisions which involve the comparison of decision elements which are difficult to quantify. It is based on the assumption that when faced with a complex decision the natural human reaction is to cluster the decision elements according ...

Journal: :Neural Computing and Applications 2022

Abstract This article contributes to the advancement and evolution of outranking decision-making methodologies, with a novel essay on ELimination Choice Translating REality (ELECTRE) family methods. Its primary target is unfold constituents expound implementation ELECTRE II method for group decision making in complex Pythagorean fuzzy framework. results method. By inception, it intrinsically su...

2007
Stefan Hajkowicz Kerry Collins

Multiple criteria analysis (MCA) is a framework for ranking or scoring the overall performance of decision options against multiple objectives. The approach has widespread and growing application in the field of water resource management. This paper reviews 113 published water management MCA studies from 34 countries. It finds that MCA is being heavily used for water policy evaluation, strategi...

Journal: :IJIDS 2012
Evanthia A. Nanaki Christopher J. Koroneos

Society’s attitude toward seismic risk, in the last few years, has evolved from fatalistic to proactive. This paper presents an approach in the area of seismic risk management. The objective is to implement a methodology in a seismic prone area in an earthquake risk management framework, based on the case study of the island of Lefkada. A tool to assist in the selection of an intervention proac...

Journal: :Fuzzy Sets and Systems 1996
Christer Carlsson Robert Fullér

Multiple Criteria Decision Making (MCDM) shows signs of becoming a maturing field. There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory based methods. Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set ...

2005
Michel Grabisch

and key words After a general introduction on multicriteria decision aid, we briefly present the two main approaches (outranking methods, multi-attribute utility). Then we focus on the multi-attribute utility framework, which we build in a new perspective, based on the MACBETH methodology and the notion of capacity. We show that the Choquet integral appears as a natural tool for aggregating cri...

2007
Raymond Bisdorff

In this paper we propose to apply the concept of L-valued kernels (see Bisdorff & Roubens [3, 4]) to the problem of constructing a global ranking from a pairwise L-valued outranking relation defined on a set of decision alternatives as encountered in the fuzzy preference modelling context (see Roy & Bouyssou [11] for instance). Our approach is based on a repetitive selection of best and worst c...

Journal: :Brazilian Journal of Operations & Production Management 2018

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