{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:49:37Z","timestamp":1761490177112,"version":"3.37.3"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2016JQ5107","310825151039"],"award-info":[{"award-number":["2016JQ5107","310825151039"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2016JQ5107","310825151039"],"award-info":[{"award-number":["2016JQ5107","310825151039"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Consumers\u2019 opinions toward product design alternatives are often subjective and perceptual, which reflect their perception about a product and can be described using Kansei adjectives. Therefore, Kansei evaluation is often employed to determine consumers\u2019 preference. However, how to identify and improve the reliability of consumers\u2019 Kansei evaluation opinions toward design alternatives has an important role in adding additional insurance and reducing uncertainty to successful product design. To solve this problem, this study employs a consensus model to measure consistence among consumers\u2019 opinions, and an advanced particle swarm optimization (PSO) algorithm combined with Linearly Decreasing Inertia Weight (LDW) method is proposed for consensus reaching by minimizing adjustment of consumers\u2019 opinions. Furthermore, the process of the proposed method is presented and the details are illustrated using an example of electronic scooter design evaluation. The case study reveals that the proposed method is promising for reaching a consensus through searching optimal solutions by PSO and improving the reliability of consumers\u2019 evaluation opinions toward design alternatives according to Kansei indexes.<\/jats:p>","DOI":"10.1155\/2017\/9740278","type":"journal-article","created":{"date-parts":[[2017,2,12]],"date-time":"2017-02-12T21:01:22Z","timestamp":1486933282000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["A Method for Consensus Reaching in Product Kansei Evaluation Using Advanced Particle Swarm Optimization"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5405-7235","authenticated-orcid":true,"given":"Yan-pu","family":"Yang","sequence":"first","affiliation":[{"name":"School of Construction Machinery, Chang\u2019an University, Xi\u2019an 710064, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"28","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/5083213"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2016.09.010"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1016\/0169-8141(94)00052-5"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/S0003-6870(02)00019-4"},{"issue":"2","key":"14","first-page":"83","volume":"7","year":"2013","journal-title":"International Journal of Design"},{"year":"2005","key":"10"},{"key":"25","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.aaspro.2015.01.036","volume":"3","year":"2015","journal-title":"Agriculture and Agricultural Science Procedia"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2015.07.750"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.10.291"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2015.11.021"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2015.03.009"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2010.10.002"},{"issue":"3, article 5","key":"26","volume":"7","year":"2010","journal-title":"International Journal of Computer Science Issues (IJCSI)"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2009.03.004"},{"year":"1989","key":"20"},{"year":"2007","key":"8"},{"year":"2000","key":"5"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2015.11.001"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.09.024"},{"volume":"267","year":"2011","key":"16"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.08.071"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(88)90152-x"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.06.010"},{"year":"2001","key":"13"},{"year":"1980","key":"23"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/9740278.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/9740278.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2017\/9740278.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T15:34:37Z","timestamp":1589729677000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2017\/9740278\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":25,"alternative-id":["9740278","9740278"],"URL":"https:\/\/doi.org\/10.1155\/2017\/9740278","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2017]]}}}