Extension of TOPSIS for fuzzy multi-attribute decision making problem based on experimental analysis

被引：10
|
作者：
Tian, Min [1 ]
He, Yuanyuan [1 ]
Liu, Sifeng [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210016, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2010年 / 21卷 / 03期
基金：
中国国家自然科学基金;
关键词：
fuzzy multi-attribute decision making; technique for order performance by similarity to ideal solution (TOPSIS) method; triangular fuzzy number; distance measure; ENVIRONMENT; INFORMATION;
D O I：
10.3969/j.issn.1004-4132.2010.03.011
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with a technique for order performance by similarity to ideal solution (TOPSIS) method for fuzzy multi-attribute decision making, in which the information about attribute weights is partly known and the attribute values take form of triangular fuzzy numbers. Considering the fact that the triangular fuzzy TOPSIS results yielded by different distance measures are different from others, a comparative analysis of triangular fuzzy TOPSIS ranking from each distance measure is illustrated with discussion on standard deviation. By applying the most reasonable distance, the deviation degrees between attribute values are measured. A linear programming model based on the maximal deviation of weighted attribute values is established to obtain the attribute weights. Therefore, alternatives are ranked by using TOPSIS method. Finally, a numerical example is given to show the feasibility and effectiveness of the method.
引用
收藏
页码：416 / 422
页数：7
相关论文
共 50 条
  • [1] Extension of TOPSIS for fuzzy multi-attribute decision making problem based on experimental analysis
    Min Tian
    Journal of Systems Engineering and Electronics, 2010, 21 (03) : 416 - 422
  • [2] Extension of TOPSIS for intuitionistic fuzzy multiple attribute decision making and experimental analysis
    He, Yuan-yuan
    Gong, Zai-wu
    Advances in Information Sciences and Service Sciences, 2012, 4 (19): : 397 - 405
  • [3] TOPSIS Method for Neutrosophic Hesitant Fuzzy Multi-Attribute Decision Making
    Giri, Bibhas C.
    Molla, Mahatab Uddin
    Biswas, Pranab
    INFORMATICA, 2020, 31 (01) : 35 - 63
  • [4] Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information
    Xu, Zeshui
    Zhang, Xiaolu
    KNOWLEDGE-BASED SYSTEMS, 2013, 52 : 53 - 64
  • [5] AN EXTENSION OF THE TOPSIS FOR MULTI-ATTRIBUTE GROUP DECISION MAKING UNDER NEUTROSOPHIC ENVIRONMENT
    Nafei, AmirHossein
    Gu, Yongyi
    Yuan, Wenjun
    MISKOLC MATHEMATICAL NOTES, 2021, 22 (01) : 393 - 405
  • [6] A Hybrid Fuzzy Extension and Its Application in Multi-Attribute Decision Making
    Surya, A. N.
    Vimala, J.
    Banu, K. Ashma
    CONTEMPORARY MATHEMATICS, 2024, 5 (02): : 2456 - 2481
  • [7] Multi-attribute Decision Making Based on Fuzzy Outranking
    Nagata, Kiyoshi
    Amagasa, Michio
    Hirose, Hiroo
    13TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI 2012), 2012, : 169 - 174
  • [8] Hesitant Fuzzy Multi-attribute Decision Making Based on Conflict Analysis
    Zhang H.
    Li X.
    Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2020, 33 (07): : 610 - 618
  • [9] An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem
    Mahmoudi, Amin
    Sadi-Nezhad, Soheil
    Makui, Ahmad
    Vakili, Mohammad Reza
    KYBERNETES, 2016, 45 (08) : 1213 - 1231
  • [10] A new ranking method based on TOPSIS and possibility theory for multi-attribute decision making problem
    Wang, Xiaoxia
    Yang, Fengbao
    Wei, Hong
    Zhang, Lei
    OPTIK, 2015, 126 (24): : 4852 - 4860
12345