PMID- 37809988
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231031
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 9
DP  - 2023 Sep
TI  - A fuzzy parametric model for decision making involving F-OWA operator with 
      unknown weights environment.
PG  - e19969
LID - 10.1016/j.heliyon.2023.e19969 [doi]
LID - e19969
AB  - Weight determining of attributes is an important factor in decision support 
      systems since it corresponds to the relative importance of each criteria which is 
      necessary to be determined since all the attributes aren't equally important. The 
      aim of this paper is to put forward a method for multi Criteria decision making 
      (MCDM) problems based on three trapezoidal fuzzy numbers under completely unknown 
      weights environment. Based on the idea that the attribute with a larger deviation 
      value among alternatives should be assigned a larger weight, an optimization 
      model based on maximizing deviation method is established. F-OWA is considered to 
      be vastly superior from the existing operators which usually take into account 
      only the relative significance of decision makers. F-OWA operator considers not 
      only the ratings of attribute values but also their ordered position that is it 
      not only signifies the decision makers but also values the individual 
      assessments. We utilize fuzzy ordered weighted averaging (F-OWA) operator to 
      compute the collective overall preference value of each alternative and select 
      the most desirable one according to their expected score values. The presented 
      method is more generalized since we have used TTFNs, which are more effective in 
      capturing uncertainty than IT2FS, just like triangular fuzzy numbers have a 
      better representational power than simple interval numbers. Moreover, an 
      illustrative example is given for the justification of the proposed technique.
CI  - (c) 2023 The Author(s).
FAU - Touqeer, Muhammad
AU  - Touqeer M
AD  - Department of Basic Sciences, University of Engineering and Technology, Taxila 
      47050, Pakistan.
FAU - Sulaie, Saleh Al
AU  - Sulaie SA
AD  - Department of Industrial Engineering, College of Engineering in Al-Qunfudah, Umm 
      Al-Qura University, Makkah 21955, Saudi Arabia.
FAU - Lone, Showkat Ahmad
AU  - Lone SA
AD  - Department of Basic Sciences, College of Science and Theoretical Studies, Saudi 
      Electronic University, Riyadh 11673, Kingdom of Saudi Arabia.
FAU - Shaheen, Kiran
AU  - Shaheen K
AD  - Department of Basic Sciences, University of Engineering and Technology, Taxila 
      47050, Pakistan.
FAU - Gunaime, Nevine M
AU  - Gunaime NM
AD  - Department of Basic Sciences, College of Science and Theoretical Studies, Saudi 
      Electronic University, Riyadh 11673, Kingdom of Saudi Arabia.
FAU - Elkotb, Mohamed Abdelghany
AU  - Elkotb MA
AD  - Mechanical Engineering Department, College of Engineering, King Khalid 
      University, Abha 61421, Saudi Arabia.
LA  - eng
PT  - Journal Article
DEP - 20230912
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10559563
OTO - NOTNLM
OT  - Fuzzy ordered weighted averaging (F-OWA)
OT  - Linguistic variables
OT  - Maximizing deviation
OT  - Three trapezoidal fuzzy numbers (TTFNs)
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- 2023/10/09 06:42
MHDA- 2023/10/09 06:43
PMCR- 2023/09/12
CRDT- 2023/10/09 05:58
PHST- 2023/03/22 00:00 [received]
PHST- 2023/08/23 00:00 [revised]
PHST- 2023/09/07 00:00 [accepted]
PHST- 2023/10/09 06:43 [medline]
PHST- 2023/10/09 06:42 [pubmed]
PHST- 2023/10/09 05:58 [entrez]
PHST- 2023/09/12 00:00 [pmc-release]
AID - S2405-8440(23)07177-3 [pii]
AID - e19969 [pii]
AID - 10.1016/j.heliyon.2023.e19969 [doi]
PST - epublish
SO  - Heliyon. 2023 Sep 12;9(9):e19969. doi: 10.1016/j.heliyon.2023.e19969. eCollection 
      2023 Sep.