On Uncertainties of Kansei in Kansei Engineering: A Fuzzy Linguistic Approach

Hong Bin Yan; Tie Ju Ma

doi:10.4028/www.scientific.net/AMR.544.130

Paper Titles

R&D Investment on Alternative Fuel Vehicles: Insights from a Two-Stage Game Theoretic Model
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Reliability Analysis for Rotor System with Oil Whip and Resonance Based on Frequency
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A New Reliability Analysis Method Based on Stability Reliability for Closed-Loop Control System
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A Fuzzy Linguistic Go/No-Go Decision Model in New Product Development
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On Uncertainties of Kansei in Kansei Engineering: A Fuzzy Linguistic Approach
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Strength Optimization Design of a Helical Hydraulic Rotary Actuator
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Modeling of Fatigue Crack Closure by Finite Element Method
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Study on Influencing Factors on Reliability of Permanent Magnet Synchronous Motor System in Electric Vehicle
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Projection Model of Intuitionistic Fuzzy Multiple Attribution Decision Making about Preventive Maintenance Modes in RCMA
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On Uncertainties of Kansei in Kansei Engineering: A Fuzzy Linguistic Approach

Abstract:

Kansei Engineering~(KE) has been developed as a methodology to deal with consumers' subjective impressions and images of a product into the design elements of a product. One central step amongst KE is to generate the Kansei profiles of the products. Kansei is a quite subjective, ambiguous, and uncertain concept, which is frequently represented in linguistic forms. Toward this end, this paper tries to cope thoroughly with the uncertainties of Kansei in KE. A probabilistic approach is proposed to generate Kansei profiles involving the ``individual" uncertainty, ``group" uncertainty, and the partial semantic overlapping of Kansei. Our approach results with a probability distribution on a set of linguistic Kansei labels.