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A FUZZY REGIONAL GROWTH MODEL TO CONTROL FOR REGIONAL INCOME DISPARITIES THAT ARISE IN A MODIFIED RAHMAN MODEL
Author(s) -
Yamamura Etsuo
Publication year - 1995
Publication title -
papers in regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.937
H-Index - 64
eISSN - 1435-5957
pISSN - 1056-8190
DOI - 10.1111/j.1435-5597.1995.tb00639.x
Subject(s) - fuzzy logic , investment (military) , controllability , econometrics , economics , control (management) , pessimism , range (aeronautics) , fuzzy set , computer science , mathematics , mathematical optimization , artificial intelligence , engineering , political science , politics , law , philosophy , epistemology , aerospace engineering
This paper reports on a first step towards controlling regional income disparities that arise in a modified Rahman model. The study is based on the use of the concept of fuzzy numbers from fuzzy set theory and the motions of an optimism and pessimistic optimal solution. A particular algorithm is advanced and detailed stimulations are discussed that focus on the controllability of the minimum share if investment. The fuzzy regional growth model codicils of a relatively easy to implement system with a fuzzy condition that can be extended to allow for a range of disparities in a system of regions.