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We show how the basic Bellman and Zadeh’s (1970) model of multistage decision making (control) in a fuzzy environment can be extended to account for human perceptions concerning its basic elements, i.e. the fuzzy constraints and fuzzy goals, by introducing objective (related more to measurements) and subjective (related more to perceptions) fuzzy constraints and fuzzy goals. To illustrate the extended, perception based model, we present a fuzzy socioeconomic sustainable regional development model initiated by Kacprzyk and Straszak (1984), and further developed by Kacprzyk (1997), Kacprzyk, Romero and Gomide (1999), etc. The model may be viewed as as example of how fuzzy logic, or - more generally - the computing with words paradigm, can help devise new more human consistent, perception based models.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.
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Click the link below to view the content.https://www.ibspan.waw.pl/~alex/OZwRCIN/WA777_113934_RB-2003-55_Towards%20Perception-Based%20Fuzzy%20Modeling:%20an%20Extended%20Multistage%20Fuzzy%20Control%20Model%20and%20its%20use%20in%20Sustainable%20Regional%20Development%20Planning_content.pdf