Agent-based simulation for Kansei Engineering: Testing a fuzzy linear quantification method in an artificial world
Authored by Tieju Ma, Yoshiteru Nakamori
Date Published: 2007-09
DOI: 10.1007/s11518-007-5055-5
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Abstract
This paper argues that agent-based simulation can be used as a way for testing Kansei Engineering methods which deal with the human reaction from sensory to mental state, that is, sensitivity, sense, sensibility, feeling, esthetics, emotion affection and intuition. A new fuzzy linear quantification method is tested in an artificial world by agent-based modeling and simulations, and the performance of the fuzzy linear method is compared with that of a genetic algorithm. The simulations can expand people's imagination and enhance people's intuition that the new fuzzy linear quantification method is effective.
Tags
agent-based simulation
Kansei Engineering