PMID- 37539119
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230805
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 7
DP  - 2023 Jul
TI  - Complex spherical fuzzy Aczel Alsina aggregation operators and their application 
      in assessment of electric cars.
PG  - e18100
LID - 10.1016/j.heliyon.2023.e18100 [doi]
LID - e18100
AB  - The multi-criteria decision-making (MCDM) tool is a robust decision-making 
      technique utilized in several fields like networking, risk management, digital 
      analysis, cybercrime investigation, artificial intelligence, waste management 
      enterprises and many other selection criteria. Complex SFS (CSFS) is a new 
      edition of the spherical fuzzy set (SFS) that offers substantial information 
      about any item in terms of amplitude and phase terms in a wider range of real 
      terms. Complex SFS (CSFS) can be an extension of the spherical fuzzy set (SFS). 
      The Aczel-Alsina aggregation tools are more appropriate aggregation operators 
      (AOs), and they are used to conquer the impact of inconsistent and uncertain 
      data. In this paper, we reveal some new approaches based on Aczel-Alsina 
      aggregation tools under consideration of Complex Spherical Fuzzy (CSF) 
      information. These new approaches include the CSF Aczel-Alsina weighted average 
      (CSFAWA) operator, and the CSF Aczel-Alsina ordered weighted average (CSFOWA) 
      operator. In addition to this, we also introduce a list of novel techniques by 
      making use of the theory of Aczel-Alsina aggregation tools such as CSF 
      Aczel-Alsina weighted geometric (CSFAWG) and CSF Aczel-Alsina ordered weighted 
      geometric (CSFOWG) operators. To demonstrate the resilience and efficacy of the 
      approaches that have been mentioned, we will examine a few exceptional examples 
      and remarkable properties of the methodology that we have devised. In addition, a 
      characterization is provided for an approach to the MCDM issue using the CPF 
      information system. We use the example of electric automobiles as a case study to 
      illustrate the uniformity and dependability of the methodology that we have 
      established. This example was chosen because of the high cost of fuel and the 
      present economic challenges that are being encountered by families in the middle 
      class. An empirical case study is also constructed to determine an electric car 
      that is desirable based on the techniques that we have proposed. To evaluate the 
      correctness and superiority of the established strategies, we compare the 
      outcomes of previously used techniques with the AOs currently being provided.
CI  - (c) 2023 The Authors.
FAU - Hussain, Abrar
AU  - Hussain A
AD  - Department of Mathematics, Riphah International University Lahore, Lahore Campus, 
      5400, Lahore, Pakistan.
FAU - Ullah, Kifayat
AU  - Ullah K
AD  - Department of Mathematics, Riphah International University Lahore, Lahore Campus, 
      5400, Lahore, Pakistan.
FAU - Senapati, Tapan
AU  - Senapati T
AD  - School of Mathematics and Statistics, Southwest University, Chongqing, People's 
      Republic of China.
FAU - Moslem, Sarbast
AU  - Moslem S
AD  - School of Architecture Planning and Environmental Policy, University College of 
      Dublin, D04 V1W8, Belfield, Dublin, Ireland.
LA  - eng
PT  - Journal Article
DEP - 20230707
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10393614
OTO - NOTNLM
OT  - Aczel-Alsina operations
OT  - Aggregation operators
OT  - Complex spherical fuzzy values
OT  - Selection process and decision-making process
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- 2023/08/04 06:43
MHDA- 2023/08/04 06:44
PMCR- 2023/07/07
CRDT- 2023/08/04 04:11
PHST- 2023/03/23 00:00 [received]
PHST- 2023/07/03 00:00 [revised]
PHST- 2023/07/06 00:00 [accepted]
PHST- 2023/08/04 06:44 [medline]
PHST- 2023/08/04 06:43 [pubmed]
PHST- 2023/08/04 04:11 [entrez]
PHST- 2023/07/07 00:00 [pmc-release]
AID - S2405-8440(23)05308-2 [pii]
AID - e18100 [pii]
AID - 10.1016/j.heliyon.2023.e18100 [doi]
PST - epublish
SO  - Heliyon. 2023 Jul 7;9(7):e18100. doi: 10.1016/j.heliyon.2023.e18100. eCollection 
      2023 Jul.