PMID- 38293499
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240201
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 10
IP  - 2
DP  - 2024 Jan 30
TI  - On SIR-based MCDM approach: Selecting a charcoal firm using hybrid fuzzy number 
      on a Triple Vague structure.
PG  - e24248
LID - 10.1016/j.heliyon.2024.e24248 [doi]
LID - e24248
AB  - Multi-Criteria Decision Making (MCDM) is a widely used method across various 
      sectors to help decision-makers assess and choose the most suitable solutions 
      from a range of available options. This research introduces an innovative 
      framework called the Triple Vague (TV) structure for Superiority and Inferiority 
      Ranking (SIR) within the context of MCDM. This framework incorporates interval 
      fuzzy numbers and hesitant fuzzy numbers, including negative interval fuzzy 
      numbers for different vague ideas. The main goal of this research is to present 
      an effective solution to the challenge of selecting a firm, specifically focusing 
      on the manufacturing of charcoal from waste coconut shells. The SIR approach is 
      employed to establish two complete rankings, and a TV value is used to articulate 
      the assessment information. In this article, our contribution lies in the 
      proposed Triple Vague approach, which utilizes the superiority and inferiority 
      ranking methodology to identify the best firm for charcoal manufacturing. 
      Further, it demonstrates through an application example involving the selection 
      of the most suitable firm among four different options based on specified 
      criteria for charcoal production from coconut shell waste. Also, comparative 
      analysis has been done with other MCDM methods like TOPSIS, Grey method and 
      PROMETHEE method. This analysis examines that the proposed structure is better 
      than other MCDM technique. Moreover, the results highlight the framework's 
      capability to handle the hesitation, vagueness, and like other undesirable 
      characteristics. Hence it provides valuable insights for decision-makers to 
      thoroughly evaluate and consider the best alternatives.
CI  - (c) 2024 The Author(s).
FAU - Rajadurai, Muthunandhini
AU  - Rajadurai M
AD  - Department of Mathematics, School of Advanced Sciences, Vellore Institute of 
      Technology, Vellore 632014, Tamil Nadu, India.
FAU - Kaliyaperumal, Palanivel
AU  - Kaliyaperumal P
AD  - Department of Mathematics, School of Advanced Sciences, Vellore Institute of 
      Technology, Vellore 632014, Tamil Nadu, India.
LA  - eng
PT  - Journal Article
DEP - 20240110
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10826662
OTO - NOTNLM
OT  - Hesitant fuzzy sets
OT  - IV-fuzzy sets
OT  - MCDM
OT  - Negative IV-fuzzy sets
OT  - SIR Method
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- 2024/01/31 06:42
MHDA- 2024/01/31 06:43
PMCR- 2024/01/10
CRDT- 2024/01/31 04:27
PHST- 2023/10/27 00:00 [received]
PHST- 2024/01/03 00:00 [revised]
PHST- 2024/01/04 00:00 [accepted]
PHST- 2024/01/31 06:43 [medline]
PHST- 2024/01/31 06:42 [pubmed]
PHST- 2024/01/31 04:27 [entrez]
PHST- 2024/01/10 00:00 [pmc-release]
AID - S2405-8440(24)00279-2 [pii]
AID - e24248 [pii]
AID - 10.1016/j.heliyon.2024.e24248 [doi]
PST - epublish
SO  - Heliyon. 2024 Jan 10;10(2):e24248. doi: 10.1016/j.heliyon.2024.e24248. 
      eCollection 2024 Jan 30.