Journal of Japan Society for Fuzzy Theory and Systems
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
Kansei Evaluation of Landscape by Decomposed Multidimensional Fuzzy Reasoning Model and Its Inverse Solution
Hiroshi MAEDAShinobu KAKIUCHIDaisuke YAMAMOTOKazuo KUWANO
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1999 Volume 11 Issue 4 Pages 593-604

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Abstract

In this paper, Kansei evaluation problem and Kansei design problem are defined and a new method for dealing with those problems is proposed. First, a certain modeling method called Decomposed multidimensional fuzzy reasoning model is proposed for the modeling of a multiple inputs and single output system, and then the Kansei evaluation problem is formulated by this model. Next, it is shown that the solution for an inverse problem of the Decomposed multidimensional fuzzy reasoning model can express the Kansei design problem and also shown that the solution technique can be provided with the framework of multiobjective programming. Furthermore, a concrete solution technique using the notion of distance is given. Finely, the new method is applied to the Kansei evaluation and design of river landscapes.

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© 1999 Japan Society for Fuzzy Theory and Intelligent Informatics
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