PMID- 37484341
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230725
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 6
DP  - 2023 Jun
TI  - A novel study of spherical fuzzy soft Dombi aggregation operators and their 
      applications to multicriteria decision making.
PG  - e16816
LID - 10.1016/j.heliyon.2023.e16816 [doi]
LID - e16816
AB  - In many decision-making situations, we are not restricted to two kinds of 
      aspects, such as membership degree or nonmembership degree, and sometimes we need 
      to include the abstinence degree (AD). However, many fuzzy set theories fail to 
      cover issues, such as an intuitionistic fuzzy soft set, Pythagorean fuzzy soft 
      set and q-rung orthopair fuzzy soft set. All the above notions can only consider 
      membership degree and a nonmembership degree in their structures. The spherical 
      fuzzy soft set compensates for these drawbacks in its structure. Moreover, the 
      Dombi t-norm and Dombi t-conorm are the fundamental apparatuses to generalize the 
      basic operational laws of sum and product. Therefore, in this article, based on 
      the dominant features of spherical fuzzy soft sets and valuable features of the 
      Dombi t-norm and Dombi t-conorm, we initially developed the basic Dombi 
      operational laws for spherical fuzzy soft numbers. Moreover, based on these newly 
      developed operational laws, we introduced aggregation operators called spherical 
      fuzzy soft Dombi average (weighted, ordered weighted, hybrid) aggregation 
      operators. We discussed the basic properties of these aggregation operators. 
      Additionally, we have developed a multiple criteria decision making (MCDM) 
      approach using an explanatory example via our approach to show its effective 
      utilization. Furthermore, a comparative study of our approach shows the 
      superiority of our introduced notions.
CI  - (c) 2023 The Authors.
FAU - Yang, Xiaopeng
AU  - Yang X
AD  - Department of Mathematics and Statistics, Hanshan Normal University, China.
FAU - Mahmood, Tahir
AU  - Mahmood T
AD  - Department of Mathematics and Statistics, International Islamic University 
      Islamabad, Pakistan.
FAU - Ahmmad, Jabbar
AU  - Ahmmad J
AD  - Department of Mathematics and Statistics, International Islamic University 
      Islamabad, Pakistan.
FAU - Hayat, Khizar
AU  - Hayat K
AD  - Department of Mathematics, University of Kotli, AJK, Pakistan.
LA  - eng
PT  - Journal Article
DEP - 20230601
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10360961
OTO - NOTNLM
OT  - Artificial intelligence
OT  - Multicriteria decision-making
OT  - Spherical fuzzy soft Dombi average aggregation operators
OT  - Spherical fuzzy soft set
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- 2023/07/24 06:42
MHDA- 2023/07/24 06:43
PMCR- 2023/06/01
CRDT- 2023/07/24 04:41
PHST- 2023/01/01 00:00 [received]
PHST- 2023/05/20 00:00 [revised]
PHST- 2023/05/30 00:00 [accepted]
PHST- 2023/07/24 06:43 [medline]
PHST- 2023/07/24 06:42 [pubmed]
PHST- 2023/07/24 04:41 [entrez]
PHST- 2023/06/01 00:00 [pmc-release]
AID - S2405-8440(23)04023-9 [pii]
AID - e16816 [pii]
AID - 10.1016/j.heliyon.2023.e16816 [doi]
PST - epublish
SO  - Heliyon. 2023 Jun 1;9(6):e16816. doi: 10.1016/j.heliyon.2023.e16816. eCollection 
      2023 Jun.