PMID- 38011124
OWN - NLM
STAT- MEDLINE
DCOM- 20231129
LR  - 20231129
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 18
IP  - 11
DP  - 2023
TI  - A novel MCDM approach for design concept evaluation based on interval-valued 
      picture fuzzy sets.
PG  - e0294596
LID - 10.1371/journal.pone.0294596 [doi]
LID - e0294596
AB  - The assessment of design concepts presents an efficient and effective strategy 
      for businesses to strengthen their competitive edge and introduce market-worthy 
      products. The widely accepted viewpoint acknowledges this as a intricate 
      multi-criteria decision-making (MCDM) approach, involving a multitude of 
      evaluative criteria and a significant amount of data that is frequently 
      ambiguously defined and subjectively influenced. In order to tackle the problems 
      of uncertainty and fuzziness in design concept evaluation, our research 
      creatively combines interval-valued picture fuzzy set (IVPFS) with an MCDM 
      process of design concept evaluation. Firstly, this study draws on the existing 
      relevant literature and the experience of decision makers to identify some 
      important criteria and corresponding sub-criteria and form a scientific 
      evaluation indicator system. We then introduce the essential operational concepts 
      of interval-valued picture fuzzy numbers (IVPFNs) and the interval-valued picture 
      fuzzy ordered weighted interactive averaging (IVPFOWIA) operator. Thirdly, an 
      entropy weighting method based on IVPFS is proposed in this research to calculate 
      the weights of criteria and sub-criteria, and based on this, an integrated IVPF 
      decision matrix is further constructed based on the presented IVPFOWIA operator. 
      Finally, the best design concept alternative is selected by applying the extended 
      TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) 
      approach with IVPFS. The IVPFS combined with improved MCDM method have been 
      proven to be superior in complex and uncertain decision-making situations through 
      experiments and comparative assessments. The information ambiguity in the 
      evaluation of design concept is well characterized by our augmentation based on 
      IVPFS.
CI  - Copyright: (c) 2023 Ma et al. This is an open access article distributed under the 
      terms of the Creative Commons Attribution License, which permits unrestricted 
      use, distribution, and reproduction in any medium, provided the original author 
      and source are credited.
FAU - Ma, Qing
AU  - Ma Q
AD  - Shandong Jiaotong University, Jinan, China.
FAU - Sun, Hongyuan
AU  - Sun H
AUID- ORCID: 0009-0009-8319-4608
AD  - Shandong Jiaotong University, Jinan, China.
FAU - Chen, Zhe
AU  - Chen Z
AD  - Shandong Jiaotong University, Jinan, China.
FAU - Tan, Yuhang
AU  - Tan Y
AD  - Shandong Jiaotong University, Jinan, China.
LA  - eng
PT  - Journal Article
DEP - 20231127
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Decision Making
MH  - *Fuzzy Logic
MH  - Uncertainty
PMC - PMC10681270
COIS- The authors have declared that no competing interests exist.
EDAT- 2023/11/27 18:44
MHDA- 2023/11/29 06:43
PMCR- 2023/11/27
CRDT- 2023/11/27 13:43
PHST- 2023/09/02 00:00 [received]
PHST- 2023/11/04 00:00 [accepted]
PHST- 2023/11/29 06:43 [medline]
PHST- 2023/11/27 18:44 [pubmed]
PHST- 2023/11/27 13:43 [entrez]
PHST- 2023/11/27 00:00 [pmc-release]
AID - PONE-D-23-27899 [pii]
AID - 10.1371/journal.pone.0294596 [doi]
PST - epublish
SO  - PLoS One. 2023 Nov 27;18(11):e0294596. doi: 10.1371/journal.pone.0294596. 
      eCollection 2023.