TY - CHAP
T1 - A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development
AU - Kacprzyk, Janusz
AU - Kondratenko, Yuriy P.
AU - Merigó, José M.
AU - Hormazabal, Jorge Hernandez
AU - Sirbiladze, Gia
AU - Bozhenyuk, Alexander
AU - Szmidt, Eulalia
AU - Zadrożny, Sławomir
AU - Owsiński, Jan W.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85138651457&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-00978-5_13
DO - 10.1007/978-3-031-00978-5_13
M3 - Chapter
AN - SCOPUS:85138651457
T3 - Studies in Systems, Decision and Control
SP - 299
EP - 329
BT - Studies in Systems, Decision and Control
PB - Springer Science and Business Media Deutschland GmbH
ER -