Design concept evaluation in product development using rough sets and grey relation analysis

Zhai, Lian-Yin; Khoo, Li Pheng; Zhong, Zhang

doi:10.1016/j.eswa.2008.08.068

Cited by 212 publications

(95 citation statements)

References 30 publications

(41 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Evaluating a design concept or a product is commonly regarded as a multi-criteria decision-making process. The evaluation is often directed by design experts, and it is mainly based on qualitative descriptions and subjective judgements 70 . In addition, the identification of evaluation criteria also relies on design experts 71 .…”

Section: Evaluation Of the Three Driven Approaches Evaluation Methods mentioning

confidence: 99%

Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven

Han

Park

Shi

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Creativity is a crucial element of design. The aim of this study is to investigate the driving forces behind combinational creativity. We propose three driven approaches to combinational creativity, problem-, similarity-, and inspiration-driven, based on previous research projects on design process, strategy, and cognition. A case study involving hundreds of practical products selected from winners of international design competitions has been conducted to evaluate the three approaches proposed. The results support the three driven approaches and indicate that they can be used independently as well as complementarily. The three approaches proposed in this study have provided an understanding of how combinational creativity functions in design. The approaches could be used as a set of creative idea generation methods for supporting designers in producing creative design ideas.

show abstract

Section: Evaluation Of the Three Driven Approaches Evaluation Methods mentioning

confidence: 99%

Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven

Han

Park

Shi

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…Based on Wu and Chen's (1999) calculation of grey relational grades, application steps of the GRA method can be described as follows (Wu, 2002;Zhai, Khoo, & Zhong, 2009):…”

Section: Methodsmentioning

confidence: 99%

Financial Performance Assessment of Non-Life Insurance Companies Traded in Borsa Istanbul via Grey Relational Analysis

Kaya¹

2016

IJEF

View full text Add to dashboard Cite

The analysis of the financial performances of non-life insurance companies traded in Borsa Istanbul (BIST) as of the end of 2014 via the grey relational analysis (GRA) method has been aimed in this study. Financial performances of non-life insurance companies in the 2010 to 2014 period have been examined in terms of the capital adequacy ratios, liquidity ratios, operating ratios, and profitability ratios. The results of the GRA based on 16 financial ratios indicate that Aksigorta has been ranked first and Unico Sigorta has been ranked last in terms of financial performance for the 2010 to 2014 period. The results also show that profitability ratios have the greatest impact on the financial performance of non-life insurance companies traded in BIST.

show abstract

“…Grey relation analysis provides a well-structured analytical framework for a multi-criteria decision-making process, but it lacks the capability to characterize the subjective perceptions of designers in the evaluation process. Rough set theory may help here, because rough sets can facilitate effective Information 2018, 9, 121 4 of 16 representation of vague information or imprecise data [41]. According to Khoo et al [42], a very important advantage of using rough set theory to handle vagueness and uncertainty is that it expresses vagueness by means of the boundary region of a set instead of membership function.…”

Section: Applications Of Rough Sets In Multiple Criteria Decision Makmentioning

confidence: 99%

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

et al. 2018

View full text Add to dashboard Cite

Abstract:The decision-making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as supply chain management. One of the most important items in the initial phase of the supply chain, which strongly influences its further flow, is to decide on the most favorable supplier. In this paper a selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry was made based on the new approach developed in the field of multi-criteria decision making (MCDM). The relative values of the weight coefficients of the criteria are calculated using the rough analytical hierarchical process (AHP) method. The evaluation and ranking of suppliers is carried out using the new rough weighted aggregated sum product assessment (WASPAS) method. In order to determine the stability of the model and the ability to apply the developed rough WASPAS approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient λ in the first part. The second part of the sensitivity analysis relates to the application of different multi-criteria decision-making methods in combination with rough numbers that have been developed in the very recent past. The model presented in the paper is solved by using the following methods: rough Simple Additive Weighting (SAW), rough Evaluation based on Distancefrom Average Solution (EDAS), rough MultiAttributive Border Approximation area Comparison (MABAC), rough Višekriterijumsko kompromisno rangiranje (VIKOR), rough MultiAttributiveIdeal-Real Comparative Analysis (MAIRCA) and rough Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA). In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient (SCC) of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. The proposed rough model allows the evaluation of alternatives despite the imprecision and lack of quantitative information in the information-management process.

show abstract

Design concept evaluation in product development using rough sets and grey relation analysis

Cited by 212 publications

References 30 publications

Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven

Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven

Financial Performance Assessment of Non-Life Insurance Companies Traded in Borsa Istanbul via Grey Relational Analysis

A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

Contact Info

Product

Resources

About