A new synergistic strategy for ranking restaurant locations: A decision-making approach based on the hexagonal fuzzy numbers

被引:19
|
作者
Gazi, Kamal Hossain [1 ]
Mondal, Sankar Prasad [1 ]
Chatterjee, Banashree [2 ]
Ghorui, Neha [3 ]
Ghosh, Arijit [4 ]
De, Debashis [5 ]
机构
[1] Maulana Abul Kalam Azad Univ Technol, Dept Appl Math, Kolkata, West Bengal, India
[2] Dr BC Roy Engn Coll, Dept Informat Technol, Durgapur, West Bengal, India
[3] Prasanta Chandra Mahalanobis Mahavidyalaya, Dept Math, Kolkata, West Bengal, India
[4] St Xaviers Coll Autonomous Kolkata, Kolkata, West Bengal, India
[5] Maulana Abul Kalam Azad Univ Technol, Dept Comp Sci & Engn, Kolkata, West Bengal, India
关键词
HFN; MCDM; FAHP; FTOPSIS; FCOPRAS; Defuzzification; Decision maker (DM); Restaurant selection; ANALYTIC HIERARCHY PROCESS; USABLE-SECURITY; SELECTION;
D O I
10.1051/ro/2023025
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
This research addresses the problem of restaurant locations ranking with applications for a cosmopolitan big city like Kolkata, India. A restaurant selection is based on occasions, spending capability, environment, location, comfort, quality of the food etc. In this research paper an exhaustive set of factors and sub-factors is taken into consideration to select and rank restaurants situated at different locations in the city of Kolkata with a population of around fifteen million. The ranking of restaurants depends on complex, conflicting qualitative attributes. In the paper hexagonal fuzzy numbers (HFN) have been used to suitably depict the imprecise uncertain environment. HFN, its distance measure and defuzzification have been applied to deal with the hesitancy and impreciseness of the decision makers. Analytic hierarchy process (AHP) has been used as a Multi Criteria Decision Making (MCDM) tool to obtain factors and sub-factors weights. TOPSIS and COPRAS methods were used for ranking different restaurant locations. Using comparative analysis it is shown that HFN with the TOPSIS and COPRAS method gives better result than other fuzzy numbers. The sensitivity analysis portion also gives a direction for taking a suitable decision in different possible scenario.
引用
收藏
页码:571 / 608
页数:38
相关论文
共 50 条
  • [1] Fuzzy critical path method based on ranking methods using hexagonal fuzzy numbers for decision making
    Samayan, Narayanamoorthy
    Sengottaiyan, Maheswari
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (01) : 157 - 164
  • [2] A novel method of ranking fuzzy numbers for decision-making problems
    Lian, Zhigang
    Jiao, Bin
    Gu, Xingsheng
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, 2006, : 354 - 357
  • [3] A method for ranking fuzzy numbers and its application to decision-making
    Lee-Kwang, H
    Lee, JH
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (06) : 677 - 685
  • [4] New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking
    Sukheja, Deepak
    Shah, Javaid Ahmad
    Madhu, G.
    Kautish, K. Sandeep
    Alghamdi, Fahad A.
    Yahia, Ibrahim S.
    El-Kenawy, El-Sayed M.
    Mohamed, Ali Wagdy
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 73 (03): : 4595 - 4609
  • [5] New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking
    Sukheja, Deepak
    Shah, Javaid Ahmad
    Madhu, G.
    Sandeep Kautish, K.
    Alghamdi, Fahad A.
    Yahia, Ibrahim S.
    El-Kenawy, El-Sayed M.
    Mohamed, Ali Wagdy
    Computers, Materials and Continua, 2022, 73 (03): : 4595 - 4609
  • [6] Ranking intuitionistic fuzzy numbers at levels of decision-making and its application
    Chutia, Rituparna
    Saikia, Sunayana
    EXPERT SYSTEMS, 2018, 35 (05)
  • [7] NEW ALGORITHM FOR THE RANKING PROCEDURE IN FUZZY DECISION-MAKING
    TSENG, TY
    KLEIN, CM
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1989, 19 (05): : 1289 - 1296
  • [8] A geometric approach for ranking interval-valued intuitionistic fuzzy numbers with an application to group decision-making
    Yue, Chuan
    COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 102 : 233 - 245
  • [9] A Fuzzy Multicriteria Decision Making Model for Restaurant Menu Ranking
    Tom, Mary
    Wibowo, Santoso
    Grandhi, Srimannarayana
    PROCEEDINGS OF THE 2015 7TH IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) AND ROBOTICS, AUTOMATION AND MECHATRONICS (RAM), 2015, : 104 - 108
  • [10] A new approach based on fuzzy rough digraphs for decision-making
    Akram, Muhammad
    Shumaiza
    Arshad, Maham
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (02) : 2105 - 2121