A PROPORTIONAL 3-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL FOR SCREENING NEW PRODUCT PROJECTS
It is critically important for companies to screen new product projects before they are launched to the market. So far, many approaches have been developed for tackling the process of screening product innovations. Due to uncertain, vague and incomplete information as well as dynamically complex pro...
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| Veröffentlicht in: | Journal of systems science and systems engineering 2016-03, Vol.25 (1), p.1-22 |
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| creator | Guo, Wen-Tao Huynh, Van-Nam Nakamori, Yoshiteru |
| description | It is critically important for companies to screen new product projects before they are launched to the market. So far, many approaches have been developed for tackling the process of screening product innovations. Due to uncertain, vague and incomplete information as well as dynamically complex process regarding to new product development （NPD）, a fuzzy linguistic approach employed linguistic assessments and the fuzzy-set-based computation is reasonable for screening new products. However, such a fuzzy linguistic approach faces with various defects and limitations, such as loss of information, failing in considering the aspects related to human nature on uncertain subjective judgments etc. These defects and limitations lead to a dilemma, i.e., it＇s very difficult to screen new product projects reasonably and precisely. In this paper, we propose a notion of proportional 3-tuple to represent a linguistic assessment and related ignoring information, and a preference-preserving proportional 3-tuple transformation for the unification of linguistic assessments represented by proportional 3-tuples between two different linguistic term sets. On this basis, a proportional 3-tuple fuzzy linguistic representation model for screening new product projects is developed. It is shown that the proposed model is flexible to handle uncertain, vague and incomplete information related to screening new product projects. It not only allows evaluators to express their subjective judgments with different confidence levels, but is also able to deal with incomplete linguistic assessments. Ultimately, the proposed model also improves the precision and reasonability of the screening result. |
| doi_str_mv | 10.1007/s11518-015-5269-x |
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So far, many approaches have been developed for tackling the process of screening product innovations. Due to uncertain, vague and incomplete information as well as dynamically complex process regarding to new product development （NPD）, a fuzzy linguistic approach employed linguistic assessments and the fuzzy-set-based computation is reasonable for screening new products. However, such a fuzzy linguistic approach faces with various defects and limitations, such as loss of information, failing in considering the aspects related to human nature on uncertain subjective judgments etc. These defects and limitations lead to a dilemma, i.e., it＇s very difficult to screen new product projects reasonably and precisely. In this paper, we propose a notion of proportional 3-tuple to represent a linguistic assessment and related ignoring information, and a preference-preserving proportional 3-tuple transformation for the unification of linguistic assessments represented by proportional 3-tuples between two different linguistic term sets. On this basis, a proportional 3-tuple fuzzy linguistic representation model for screening new product projects is developed. It is shown that the proposed model is flexible to handle uncertain, vague and incomplete information related to screening new product projects. It not only allows evaluators to express their subjective judgments with different confidence levels, but is also able to deal with incomplete linguistic assessments. Ultimately, the proposed model also improves the precision and reasonability of the screening result.</description><identifier>ISSN: 1004-3756</identifier><identifier>EISSN: 1861-9576</identifier><identifier>DOI: 10.1007/s11518-015-5269-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Assessments ; Complexity ; Confidence intervals ; Defects ; Economic Theory/Quantitative Economics/Mathematical Methods ; Engineering ; Fuzzy sets ; Linguistics ; Operations Research/Decision Theory ; Product development ; Representations ; Screening ; 三元组 ; 主观判断 ; 产品创新 ; 新产品开发 ; 模型筛选 ; 模糊语言 ; 比例 ; 相关信息</subject><ispartof>Journal of systems science and systems engineering, 2016-03, Vol.25 (1), p.1-22</ispartof><rights>Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg 2016</rights><rights>Systems Engineering Society of China and Springer-Verlag Berlin Heidelberg 2016.</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-8ada4029a032c404c7ac7025b74a9de6234b2d7d39b59ac09e35baf0fee88d333</citedby><cites>FETCH-LOGICAL-c518t-8ada4029a032c404c7ac7025b74a9de6234b2d7d39b59ac09e35baf0fee88d333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/84205A/84205A.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11518-015-5269-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918667677?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,27905,27906,33725,41469,42538,43786,51300,64364,64368,72218</link.rule.ids></links><search><creatorcontrib>Guo, Wen-Tao</creatorcontrib><creatorcontrib>Huynh, Van-Nam</creatorcontrib><creatorcontrib>Nakamori, Yoshiteru</creatorcontrib><title>A PROPORTIONAL 3-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL FOR SCREENING NEW PRODUCT PROJECTS</title><title>Journal of systems science and systems engineering</title><addtitle>J. Syst. Sci. Syst. Eng</addtitle><addtitle>Journal of Systems Science and Systems Engineering</addtitle><description>It is critically important for companies to screen new product projects before they are launched to the market. So far, many approaches have been developed for tackling the process of screening product innovations. Due to uncertain, vague and incomplete information as well as dynamically complex process regarding to new product development （NPD）, a fuzzy linguistic approach employed linguistic assessments and the fuzzy-set-based computation is reasonable for screening new products. However, such a fuzzy linguistic approach faces with various defects and limitations, such as loss of information, failing in considering the aspects related to human nature on uncertain subjective judgments etc. These defects and limitations lead to a dilemma, i.e., it＇s very difficult to screen new product projects reasonably and precisely. In this paper, we propose a notion of proportional 3-tuple to represent a linguistic assessment and related ignoring information, and a preference-preserving proportional 3-tuple transformation for the unification of linguistic assessments represented by proportional 3-tuples between two different linguistic term sets. On this basis, a proportional 3-tuple fuzzy linguistic representation model for screening new product projects is developed. It is shown that the proposed model is flexible to handle uncertain, vague and incomplete information related to screening new product projects. It not only allows evaluators to express their subjective judgments with different confidence levels, but is also able to deal with incomplete linguistic assessments. 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Syst. Sci. Syst. Eng</stitle><addtitle>Journal of Systems Science and Systems Engineering</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>25</volume><issue>1</issue><spage>1</spage><epage>22</epage><pages>1-22</pages><issn>1004-3756</issn><eissn>1861-9576</eissn><abstract>It is critically important for companies to screen new product projects before they are launched to the market. So far, many approaches have been developed for tackling the process of screening product innovations. Due to uncertain, vague and incomplete information as well as dynamically complex process regarding to new product development （NPD）, a fuzzy linguistic approach employed linguistic assessments and the fuzzy-set-based computation is reasonable for screening new products. However, such a fuzzy linguistic approach faces with various defects and limitations, such as loss of information, failing in considering the aspects related to human nature on uncertain subjective judgments etc. These defects and limitations lead to a dilemma, i.e., it＇s very difficult to screen new product projects reasonably and precisely. In this paper, we propose a notion of proportional 3-tuple to represent a linguistic assessment and related ignoring information, and a preference-preserving proportional 3-tuple transformation for the unification of linguistic assessments represented by proportional 3-tuples between two different linguistic term sets. On this basis, a proportional 3-tuple fuzzy linguistic representation model for screening new product projects is developed. It is shown that the proposed model is flexible to handle uncertain, vague and incomplete information related to screening new product projects. It not only allows evaluators to express their subjective judgments with different confidence levels, but is also able to deal with incomplete linguistic assessments. Ultimately, the proposed model also improves the precision and reasonability of the screening result.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11518-015-5269-x</doi><tpages>22</tpages></addata></record> |
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| ispartof | Journal of systems science and systems engineering, 2016-03, Vol.25 (1), p.1-22 |
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| subjects | Assessments Complexity Confidence intervals Defects Economic Theory/Quantitative Economics/Mathematical Methods Engineering Fuzzy sets Linguistics Operations Research/Decision Theory Product development Representations Screening 三元组 主观判断 产品创新 新产品开发 模型筛选 模糊语言 比例 相关信息 |
| title | A PROPORTIONAL 3-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL FOR SCREENING NEW PRODUCT PROJECTS |
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