PMID- 38144291
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231225
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 12
DP  - 2023 Dec
TI  - Streamlining apartment provider evaluation: A spherical fuzzy multi-criteria 
      decision-making model.
PG  - e22353
LID - 10.1016/j.heliyon.2023.e22353 [doi]
LID - e22353
AB  - In the context of the thriving real estate market in developing countries like 
      Vietnam, understanding consumer preferences and effectively addressing them 
      through a comprehensive multi-criteria decision-making (MCDM) framework is 
      paramount for real estate providers. This study presents a two-stage MCDM model 
      that integrates the Delphi technique and the Technique for Order Preference by 
      Similarity to Ideal Solution (TOPSIS) based on Spherical Fuzzy Sets (SFSs). 
      Initially, the SF-Delphi technique validates critical criteria influencing 
      customers' apartment selection in Vietnam. Secondly, the SF-TOPSIS method 
      evaluates the top ten apartment providers. To ensure robustness and validity, a 
      comparative analysis compares the results with those from the Intuitionistic 
      Fuzzy TOPSIS (IF-TOPSIS) and Fuzzy TOPSIS (F-TOPSIS) methods. Subsequently, five 
      rank correlation coefficients (Spearman, Kendall, Goodman-Kruskal, Weighted rank 
      measure of correlation, Weighted Similarity) are used to assess the relationships 
      between various TOPSIS techniques applied to apartment suppliers in Vietnam. The 
      correlation coefficients demonstrate strong agreement among the TOPSIS methods, 
      with the smallest coefficient being 0.7778, surpassing the threshold of 0.7. This 
      high level of consistency confirms the efficacy of the proposed TOPSIS approach 
      with different Fuzzy Sets in reliably evaluating customers' preferences for 
      apartment suppliers. Notably, the legal aspect's prominence underscores its 
      critical role in shaping customer choices, emphasizing the significance of 
      considering legal factors in the context of apartment supply and demand in 
      Vietnam. Furthermore, using SFSs makes this approach particularly suited to 
      capture consumer perceptions within the dynamic and uncertain business 
      environment characterized by volatility, uncertainty, complexity, and ambiguity 
      (VUCA).
CI  - (c) 2023 The Authors.
FAU - Nguyen, Phi-Hung
AU  - Nguyen PH
AD  - Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 
      100000, Viet Nam.
FAU - Tran, Thu-Hien
AU  - Tran TH
AD  - Department of Business Management, National Taipei University of Technology, 
      Taipei 10608, Taiwan.
FAU - Thi Nguyen, Lan-Anh
AU  - Thi Nguyen LA
AD  - Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 
      100000, Viet Nam.
FAU - Pham, Hong-Anh
AU  - Pham HA
AD  - Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 
      100000, Viet Nam.
FAU - Thi Pham, Mai-Anh
AU  - Thi Pham MA
AD  - Research Center of Applied Sciences, Faculty of Business, FPT University, Hanoi 
      100000, Viet Nam.
LA  - eng
PT  - Journal Article
DEP - 20231203
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10746397
OTO - NOTNLM
OT  - Apartment selection
OT  - Delphi
OT  - MCDM
OT  - Real estate
OT  - Spherical fuzzy sets
OT  - TOPSIS
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2023/12/25 06:42
MHDA- 2023/12/25 06:43
PMCR- 2023/12/03
CRDT- 2023/12/25 04:29
PHST- 2023/04/24 00:00 [received]
PHST- 2023/10/29 00:00 [revised]
PHST- 2023/11/09 00:00 [accepted]
PHST- 2023/12/25 06:43 [medline]
PHST- 2023/12/25 06:42 [pubmed]
PHST- 2023/12/25 04:29 [entrez]
PHST- 2023/12/03 00:00 [pmc-release]
AID - S2405-8440(23)09561-0 [pii]
AID - e22353 [pii]
AID - 10.1016/j.heliyon.2023.e22353 [doi]
PST - epublish
SO  - Heliyon. 2023 Dec 3;9(12):e22353. doi: 10.1016/j.heliyon.2023.e22353. eCollection 
      2023 Dec.