A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development

Janusz Kacprzyk, Yuriy P. Kondratenko, José M. Merigó, Jorge Hernandez Hormazabal, Gia Sirbiladze, Alexander Bozhenyuk, Eulalia Szmidt, Sławomir Zadrożny, Jan W. Owsiński

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

We propose a further extension of a multistage fuzzy control model of stable sustainable regional agriculture development that involves an additional capacity to reflect a stability requirement which addresses a clear preference of the stakeholders for a limited variability of crucial development indicators and parameters. We presented the use of fuzzy dynamic programming for solving the problem in which many crucial aspects, in particular life quality indicators, are subject to objective, by the authorities, and subjective, by the inhabitants, evaluations which are closely related to human perception and cognitive abilities. This model is then augmented with a requirement of a limited variability of crucial development indicators, parameters, etc. For illustration, we have shown a simple example in which the problem is to determine the best (optimal) investment policy under different development scenarios, and subject to objective and subjective evaluations.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages299-329
Number of pages31
DOIs
StatePublished - 2022
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
Volume415
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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