user

Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

被引：17
|
作者：
Bulut, Emrah [1 ]
Duru, Okan [2 ]
Kocak, Gazi [3 ]
机构：
[1] Yildiz Tech Univ, Dept Business Adm, Istanbul, Turkey
[2] Izmir Katip Celebi Univ, Dept Ship & Marine Technol Engn, Izmir, Turkey
[3] Istanbul Tech Univ, Dept Marine Engn, TR-34940 Istanbul, Turkey
来源：
APPLIED MATHEMATICAL MODELLING | 2015年 / 39卷 / 02期
关键词：
Fuzzy-AHP; Rational choice theory; Rank reversal; Marine engine; CONSISTENCY INDEX; AHP; PRIORITIZATION; TOPSIS; MODEL;
D O I：
10.1016/j.apm.2014.07.018
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The aim of this paper is to improve the applicability of the fuzzy-AHP method by using the rotational priority investigation (RPI) method. Despite its popularity and convenience, the AHP and fuzzy-AHP method is criticized by many scholars because of intransitivity and the rank reversal phenomenon. Experts may question the rational choice theory and cross priorities may indicate conflicting interactions. Also, the extraction of a number of alternatives may cause a different order of priorities. The rotational priority investigation method is proposed to investigate sub-group priorities and their corresponding rankings. Every rotation refers to the investigation of sub-group priorities after extraction of an alternative. The final result is based on the normalized average priority among the several rotations. An empirical study is presented by using the RPI method in the fuzzy AHP for the marine engine selection problem in the shipping industry. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：913 / 923
页数：11
相关论文
共 50 条
  • [1] A FUZZY ANALYTIC HIERARCHY PROCESS METHODOLOGY FOR THE SUPPLIER SELECTION PROBLEM
    Ozfirat, Pinar Mizrak
    Tuna, Gokcecicek
    Tuncel, Gonca
    [J]. UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 291 - 299
  • [2] A fuzzy analytic hierarchy process methodology for the supplier selection problem
    Ozfirat, Pinar Mizrak
    Tasoglu, Gokcecicek Tuna
    Memis, Gonca Tuncel
    [J]. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2014, 27 (03) : 292 - +
  • [3] Architectural Design Proposals Selection Based on Fuzzy Analytic Hierarchy Process
    Qin, Hao
    Chen, Fan
    Lin, Pingying
    Li, S. T.
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4, 2009, : 2266 - 2270
  • [4] A New Fuzzy Analytic Hierarchy Process and Its Application to Vendor Selection Problem
    Aydin, Serhat
    Kahraman, Cengiz
    [J]. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2013, 20 (3-4) : 353 - 371
  • [5] INVESTIGATION OF WELDER SELECTION PARAMETERS BASED ON FUZZY ANALYTIC HIERARCHY PROCESS IN SHIPBUILDING
    Ozkok, M.
    [J]. INTERNATIONAL JOURNAL OF MARITIME ENGINEERING, 2016, 158 : A239 - A250
  • [6] Fuzzy portfolio selection using fuzzy analytic hierarchy process
    Tiryaki, Fatma
    Ahlatcioglu, Beyza
    [J]. INFORMATION SCIENCES, 2009, 179 (1-2) : 53 - 69
  • [7] Fuzzy application to the analytic hierarchy process for robot selection
    Kapoor V.
    Tak S.S.
    [J]. Fuzzy Optimization and Decision Making, 2005, 4 (3) : 209 - 234
  • [8] THE FUZZY ANALYTIC HIERARCHY PROCESS FOR SOFTWARE SELECTION PROBLEMS
    Basligil, Huseyin
    [J]. SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, 2005, 23 (03): : 24 - 33
  • [9] Fuzzy least-squares priority method in the analytic hierarchy process
    Xu, RN
    [J]. FUZZY SETS AND SYSTEMS, 2000, 112 (03) : 395 - 404
  • [10] Application of the analytic hierarchy process to the supplier selection problem
    Barbarosoglu, Gulay
    Yazgac, Tulin
    [J]. Production and Inventory Management Journal, 38 (01): : 14 - 21
12345