PMID- 34603426
OWN - NLM
STAT- MEDLINE
DCOM- 20211005
LR  - 20211005
IS  - 1687-5273 (Electronic)
IS  - 1687-5265 (Print)
VI  - 2021
DP  - 2021
TI  - Multicriteria Decision-Making Approach for Aggregation Operators of Pythagorean 
      Fuzzy Hypersoft Sets.
PG  - 2036506
LID - 10.1155/2021/2036506 [doi]
LID - 2036506
AB  - The Pythagorean fuzzy hypersoft set (PFHSS) is the most advanced extension of the 
      intuitionistic fuzzy hypersoft set (IFHSS) and a suitable extension of the 
      Pythagorean fuzzy soft set. In it, we discuss the parameterized family that 
      contracts with the multi-subattributes of the parameters. The PFHSS is used to 
      correctly assess insufficiencies, anxiety, and hesitancy in decision-making (DM). 
      It is the most substantial notion for relating fuzzy data in the DM procedure, 
      which can accommodate more uncertainty compared to available techniques 
      considering membership and nonmembership values of each subattribute of given 
      parameters. In this paper, we will present the operational laws for Pythagorean 
      fuzzy hypersoft numbers (PFHSNs) and also some fundamental properties such as 
      idempotency, boundedness, shift-invariance, and homogeneity for Pythagorean fuzzy 
      hypersoft weighted average (PFHSWA) and Pythagorean fuzzy hypersoft weighted 
      geometric (PFHSWG) operators. Furthermore, a novel multicriteria decision-making 
      (MCDM) approach has been established utilizing presented aggregation operators 
      (AOs) to resolve decision-making complications. To validate the useability and 
      pragmatism of the settled technique, a brief comparative analysis has been 
      conducted with some existing approaches.
CI  - Copyright (c) 2021 Imran Siddique et al.
FAU - Siddique, Imran
AU  - Siddique I
AD  - Department of Mathematics, School of Science, University of Management and 
      Technology, Lahore 54770, Pakistan.
FAU - Zulqarnain, Rana Muhammad
AU  - Zulqarnain RM
AUID- ORCID: 0000-0002-2656-8679
AD  - Department of Mathematics, School of Science, University of Management and 
      Technology, Sialkot Campus, Lahore, Pakistan.
FAU - Ali, Rifaqat
AU  - Ali R
AUID- ORCID: 0000-0002-2605-1119
AD  - Department of Mathematics, College of Science and Arts, King Khalid University, 
      Muhayil, Abha 61413, Saudi Arabia.
FAU - Jarad, Fahd
AU  - Jarad F
AUID- ORCID: 0000-0002-3303-0623
AD  - Department of Mathematics, Cankaya University, Etimesgut, Ankara, Turkey.
AD  - Department of Medical Research, China Medical University Hospital, China Medical 
      University, Taichung, Taiwan.
FAU - Iampan, Aiyared
AU  - Iampan A
AUID- ORCID: 0000-0002-0475-3320
AD  - Department of Mathematics, School of Science, University of Phayao, Mae Ka, 
      Mueang, Phayao 56000, Thailand.
LA  - eng
PT  - Journal Article
DEP - 20210922
PL  - United States
TA  - Comput Intell Neurosci
JT  - Computational intelligence and neuroscience
JID - 101279357
SB  - IM
MH  - *Anxiety
MH  - Uncertainty
PMC - PMC8483897
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2021/10/05 06:00
MHDA- 2021/10/06 06:00
PMCR- 2021/09/22
CRDT- 2021/10/04 05:58
PHST- 2021/07/26 00:00 [received]
PHST- 2021/08/24 00:00 [revised]
PHST- 2021/08/26 00:00 [accepted]
PHST- 2021/10/04 05:58 [entrez]
PHST- 2021/10/05 06:00 [pubmed]
PHST- 2021/10/06 06:00 [medline]
PHST- 2021/09/22 00:00 [pmc-release]
AID - 10.1155/2021/2036506 [doi]
PST - epublish
SO  - Comput Intell Neurosci. 2021 Sep 22;2021:2036506. doi: 10.1155/2021/2036506. 
      eCollection 2021.