A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development

Kacprzyk, J; Kondratenko, YP; Merigó, JM; Hormazabal, JH; Sirbiladze, G; Bozhenyuk, A; Szmidt, E; Zadrożny, S; Owsiński, JW

A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development

Kacprzyk, J Kondratenko, YP Merigó, JM Hormazabal, JH Sirbiladze, G Bozhenyuk, A Szmidt, E Zadrożny, S Owsiński, JW

Permalink

Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Studies in Systems, Decision and Control, 2022, 415, pp. 299-329
Issue Date:: 2022-01-01

Closed Access

	Filename	Description	Size
	A Fuzzy Multistage Control Model.pdf		15.25 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Kacprzyk, J
dc.contributor.author	Kondratenko, YP
dc.contributor.author	Merigó, JM
dc.contributor.author	Hormazabal, JH
dc.contributor.author	Sirbiladze, G
dc.contributor.author	Bozhenyuk, A
dc.contributor.author	Szmidt, E
dc.contributor.author	Zadrożny, S
dc.contributor.author	Owsiński, JW
dc.date.accessioned	2023-03-21T23:15:16Z
dc.date.available	2023-03-21T23:15:16Z
dc.date.issued	2022-01-01
dc.identifier.citation	Studies in Systems, Decision and Control, 2022, 415, pp. 299-329
dc.identifier.isbn	9783031009778
dc.identifier.uri	http://hdl.handle.net/10453/167997
dc.description.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.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Studies in Systems, Decision and Control
dc.relation.ispartofseries	Studies in Systems, Decision and Control
dc.relation.isbasedon	10.1007/978-3-031-00978-5_13
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development
dc.type	Chapter
utslib.citation.volume	415
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T23:14:50Z
pubs.publication-status	Published
pubs.volume	415

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/167997