A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection

被引:66
|
作者
Khalili-Damghani, Kaveh [1 ]
Sadi-Nezhad, Soheil [2 ]
机构
[1] Islamic Azad Univ, Dept Ind Engn, S Tehran Branch, Tehran, Iran
[2] Islamic Azad Univ, Dept Ind Engn, Sci & Res Branch, Tehran, Iran
关键词
Fuzzy preference relations; Goal programming; Fuzzy TOPSIS; Fuzzy distance measurement; Modified preference ratio; Sustainable project selection; MULTIPLICATIVE PREFERENCE RELATIONS; PORTFOLIO SELECTION; TOPSIS; READINESS; FRAMEWORK; MODEL;
D O I
10.1016/j.asoc.2012.07.030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a new hybrid fuzzy multiple criteria group decision making (FMCGDM) approach has been proposed for sustainable project selection. First, a comprehensive framework, including economic, social, and environmental effects of an investment, strategic alliance, organizational readiness, and risk of investment has been proposed for sustainable project selection. As the relative importance of the criteria of the proposed framework are hard to find through several conflictive preferences of a group of Decision Makers (DMs) so, a goal programming (GP) has been supplied to this aim considering multiplicative and fuzzy preference relation. Then, a fuzzy TOPSIS method has been developed to assess the fitness of investment chances. It is based on Preference Ratio (PR), which is known as an efficient ranking method for fuzzy numbers, and a fuzzy distance measurement. The properties of proposed hybrid approach make it robust for modeling real case of uncertain group decision making problems. The FMCGDM has been developed through a linkage between Lingo 11.0, MS-Excel 12.0, and Visual Basic 6.0. The proposed hybrid approach has been applied in a real case study called Iranian financial and credit institute for sustainable project selection. (C) 2012 Elsevier B. V. All rights reserved.
引用
收藏
页码:339 / 352
页数:14
相关论文
共 50 条
  • [1] A hybrid neutrosophic multiple criteria group decision making approach for project selection
    Abdel-Basset, Mohamed
    Atef, Asmaa
    Smarandache, Florentin
    COGNITIVE SYSTEMS RESEARCH, 2019, 57 : 216 - 227
  • [2] An integrated fuzzy multi-criteria group decision making approach for project delivery system selection
    Khanzadi, M.
    Nasirzadeh, F.
    Hassani, S. M. Hossein
    Mohtashemi, N. Nejad
    SCIENTIA IRANICA, 2016, 23 (03) : 802 - 814
  • [3] Fuzzy Multiple Criteria Decision Making Approach to assess the Project Quality Management in Project
    Chang, Yao-Feng
    Ishii, Hiroaki
    17TH INTERNATIONAL CONFERENCE IN KNOWLEDGE BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS - KES2013, 2013, 22 : 928 - 936
  • [4] A FUZZY APPROACH TO THE MULTIPLE CRITERIA DECISION MAKING
    Sevcik, Vitezslav
    MENDEL 2008, 2008, : 198 - 202
  • [5] Sustainable material selection for construction industry - A hybrid multi criteria decision making approach
    Govindan, Kannan
    Shankar, K. Madan
    Kannan, Devika
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 55 : 1274 - 1288
  • [6] A hybrid multi criteria decision making approach for consultant selection problem in ERP project
    Shwetank Avikal
    Mukesh Nigam
    Mangey Ram
    International Journal of System Assurance Engineering and Management, 2022, 13 : 941 - 950
  • [7] A hybrid multi criteria decision making approach for consultant selection problem in ERP project
    Avikal, Shwetank
    Nigam, Mukesh
    Ram, Mangey
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, 13 (SUPPL 2) : 941 - 950
  • [8] A hybrid fuzzy multi-criteria decision making approach for desalination process selection
    Ghassemi, Seyed Ali
    Danesh, Shahnaz
    DESALINATION, 2013, 313 : 44 - 50
  • [9] An integrated fuzzy multi criteria group decision making approach for ERP system selection
    Efe, Burak
    APPLIED SOFT COMPUTING, 2016, 38 : 106 - 117
  • [10] Fuzzy TOPSIS Algorithm for Multiple Criteria Decision Making with an Application in Information Systems Project Selection
    Gao, Peng
    Feng, Junwen
    Yang, Lu
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 7465 - 7468