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Evaluating new product development performance by fuzzy linguistic computing · Study

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ArticleEvaluating new product development performance by fuzzy linguistic computing

Wen-Pai Wang2009

Article2009

Evaluating new product development performance by fuzzy linguistic computing

114 citations·0/0 files stored·Expert Systems with Applications

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Multi-Criteria Decision Making Fuzzy and Soft Set Theory Evaluation Methods in Various Fields

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References

1993Fuzzy Set Theory and Its Applications 2000A 2-tuple fuzzy linguistic representation model for computing with words 1986The new new product development game 1997PDMA Research on New Product Development Practices: Updating Trends and Benchmarking Best Practices 2004The Different Roles of Product Appearance in Consumer Choice *1991Fuzzy set theory- and its applications 2000AN APPROACH FOR COMBINING LINGUISTIC AND NUMERICAL INFORMATION BASED ON THE 2-TUPLE FUZZY LINGUISTIC REPRESENTATION MODEL IN DECISION-MAKING 2001How integrating industrial design in the product development process impacts on company performance

Cited by

2010FIOWHM operator and its application to multiple attribute group decision making 2010Selecting the Individual Numerical Scale and Prioritization Method in the Analytic Hierarchy Process: A 2-Tuple Fuzzy Linguistic Approach 2017Picture uncertain linguistic Bonferroni mean operators and their application to multiple attribute decision making 2018RETRACTED: TODIM method for Pythagorean 2-tuple linguistic multiple attribute decision making 2015

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Details

Year2009

Typearticle

Published2009-02-22

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations114

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.eswa.2009.02.034

openalex_workW2052076264

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2019Pythagorean Fuzzy Hamacher Power Aggregation Operators in Multiple Attribute Decision Making

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2014Personnel Selection Using Interval 2‐Tuple Linguistic VIKOR Method