An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method

Abstract The objective of this research is to enhance the precision and efficiency of design concept assessments during the initial stages of new product creation. Design concept evaluation, which occurs at the end of the conceptual design phase, is a critical step in product development. The outcom...

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Main Authors: Qing Ma, Zhe Chen, Yuhang Tan, Jianing Wei
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-57960-9
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author Qing Ma
Zhe Chen
Yuhang Tan
Jianing Wei
author_facet Qing Ma
Zhe Chen
Yuhang Tan
Jianing Wei
author_sort Qing Ma
collection DOAJ
description Abstract The objective of this research is to enhance the precision and efficiency of design concept assessments during the initial stages of new product creation. Design concept evaluation, which occurs at the end of the conceptual design phase, is a critical step in product development. The outcome of this evaluation significantly impacts the product's eventual success, as flawed design concepts are difficult to remedy in later stages. However, the evaluation of new product concepts is a procedure that encompasses elements of subjectivity and ambiguity. In order to deal with the problem, a novel decision-making method for choosing more logical new product concepts is introduced. Basically, the evaluation process is outlined in three main phases: the construction of evaluation index system for design concept alternatives, the calculation of weights for evaluation criteria and decision-makers, the selection of the best design concept alternatives. These stages are composed of a hybrid method based on kano model, multiplicative analytic hierarchy process (AHP) method, the entropy of IVPFS and improved grey relational projection (GRP) under interval-valued picture fuzzy set (IVPFS). The novel approach integrates the strength of interval-valued picture fuzzy number in handling vagueness, the advantage of multiplicative AHP and the merit of improved GRP method in modelling multi-criteria decision-making. In final, the effectiveness of the proposed model is validated through comparisons with other models. The potential applications of this study include but are not limited to product development, industrial design, and innovation management, providing decision-makers with a more accurate and comprehensive design concept evaluation tool.
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spelling doaj.art-58f56c8ef5874bd7bb98b3041fdc25d62024-04-14T11:12:45ZengNature PortfolioScientific Reports2045-23222024-04-0114111910.1038/s41598-024-57960-9An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP methodQing Ma0Zhe Chen1Yuhang Tan2Jianing Wei3Shandong Jiaotong UniversityShandong Jiaotong UniversityShandong Jiaotong UniversityShandong Jiaotong UniversityAbstract The objective of this research is to enhance the precision and efficiency of design concept assessments during the initial stages of new product creation. Design concept evaluation, which occurs at the end of the conceptual design phase, is a critical step in product development. The outcome of this evaluation significantly impacts the product's eventual success, as flawed design concepts are difficult to remedy in later stages. However, the evaluation of new product concepts is a procedure that encompasses elements of subjectivity and ambiguity. In order to deal with the problem, a novel decision-making method for choosing more logical new product concepts is introduced. Basically, the evaluation process is outlined in three main phases: the construction of evaluation index system for design concept alternatives, the calculation of weights for evaluation criteria and decision-makers, the selection of the best design concept alternatives. These stages are composed of a hybrid method based on kano model, multiplicative analytic hierarchy process (AHP) method, the entropy of IVPFS and improved grey relational projection (GRP) under interval-valued picture fuzzy set (IVPFS). The novel approach integrates the strength of interval-valued picture fuzzy number in handling vagueness, the advantage of multiplicative AHP and the merit of improved GRP method in modelling multi-criteria decision-making. In final, the effectiveness of the proposed model is validated through comparisons with other models. The potential applications of this study include but are not limited to product development, industrial design, and innovation management, providing decision-makers with a more accurate and comprehensive design concept evaluation tool.https://doi.org/10.1038/s41598-024-57960-9Design concept evaluationKano modelInterval-valued picture fuzzy setMultiplicative AHP methodEntropy of IVPFSImproved GRP method
spellingShingle Qing Ma
Zhe Chen
Yuhang Tan
Jianing Wei
An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
Scientific Reports
Design concept evaluation
Kano model
Interval-valued picture fuzzy set
Multiplicative AHP method
Entropy of IVPFS
Improved GRP method
title An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
title_full An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
title_fullStr An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
title_full_unstemmed An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
title_short An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
title_sort integrated design concept evaluation model based on interval valued picture fuzzy set and improved grp method
topic Design concept evaluation
Kano model
Interval-valued picture fuzzy set
Multiplicative AHP method
Entropy of IVPFS
Improved GRP method
url https://doi.org/10.1038/s41598-024-57960-9
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