A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures

With interdisciplinarity being an important characteristic of contemporary product design, the evaluation of design alternatives also involves multiple disciplines, and the evaluator group usually consists of evaluators from different fields and with obvious heterogeneous characteristics. To effecti...

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Autores principales:	Yukun Hu, Suihuai Yu, Jianjie Chu, Dengkai Chen, Fangmin Cheng, Chen Chen, Zhuo Liu, Ting Wei
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/f3986568784c4db59954cec950bed03f
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spelling	oai:doaj.org-article:f3986568784c4db59954cec950bed03f2021-11-22T01:11:36ZA Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures1687-527310.1155/2021/6992648https://doaj.org/article/f3986568784c4db59954cec950bed03f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6992648https://doaj.org/toc/1687-5273With interdisciplinarity being an important characteristic of contemporary product design, the evaluation of design alternatives also involves multiple disciplines, and the evaluator group usually consists of evaluators from different fields and with obvious heterogeneous characteristics. To effectively satisfy the heterogeneous needs of evaluators and improve the credibility of evaluation results, the paper introduces a consensus-reaching approach that incorporates multiple preferences to the evaluation of product design alternatives. First, in order to obtain individual preference information, each evaluator is asked to evaluate all the design alternatives using a preference structure that he/she is familiar with. Second, we use a transfer function to uniform the evaluation information obtained from various preference structures into a complementary judgment matrix. Then, we use the Hybrid Weighted Averaging (HWA) operator weight determination model to aggregate the preference information and obtain the group preference information. Then, we measure the consensus degree between individual evaluators and the group using a consensus measurement method. After that, we use the feedback mechanism to instruct individual evaluators to modify their preferences until a consensus is achieved. We explain the application steps and the feasibility of this approach through the evaluation of the design alternatives of multichannel fluorescence immunochromatography analyzers (MFIAs).Yukun HuSuihuai YuJianjie ChuDengkai ChenFangmin ChengChen ChenZhuo LiuTing WeiHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENComputational Intelligence and Neuroscience, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Yukun Hu Suihuai Yu Jianjie Chu Dengkai Chen Fangmin Cheng Chen Chen Zhuo Liu Ting Wei A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
description	With interdisciplinarity being an important characteristic of contemporary product design, the evaluation of design alternatives also involves multiple disciplines, and the evaluator group usually consists of evaluators from different fields and with obvious heterogeneous characteristics. To effectively satisfy the heterogeneous needs of evaluators and improve the credibility of evaluation results, the paper introduces a consensus-reaching approach that incorporates multiple preferences to the evaluation of product design alternatives. First, in order to obtain individual preference information, each evaluator is asked to evaluate all the design alternatives using a preference structure that he/she is familiar with. Second, we use a transfer function to uniform the evaluation information obtained from various preference structures into a complementary judgment matrix. Then, we use the Hybrid Weighted Averaging (HWA) operator weight determination model to aggregate the preference information and obtain the group preference information. Then, we measure the consensus degree between individual evaluators and the group using a consensus measurement method. After that, we use the feedback mechanism to instruct individual evaluators to modify their preferences until a consensus is achieved. We explain the application steps and the feasibility of this approach through the evaluation of the design alternatives of multichannel fluorescence immunochromatography analyzers (MFIAs).
format	article
author	Yukun Hu Suihuai Yu Jianjie Chu Dengkai Chen Fangmin Cheng Chen Chen Zhuo Liu Ting Wei
author_facet	Yukun Hu Suihuai Yu Jianjie Chu Dengkai Chen Fangmin Cheng Chen Chen Zhuo Liu Ting Wei
author_sort	Yukun Hu
title	A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
title_short	A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
title_full	A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
title_fullStr	A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
title_full_unstemmed	A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures
title_sort	consensus-reaching approach to the evaluation of product design alternatives with multiple preference structures
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/f3986568784c4db59954cec950bed03f
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A Consensus-Reaching Approach to the Evaluation of Product Design Alternatives with Multiple Preference Structures

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