Towards 'human-consistent' multistage decision making and control models using fuzzy sets and fuzzy logic
type: Item
instance of: scholarly article
title: Towards 'human-consistent' multistage decision making and control models using fuzzy sets and fuzzy logic
zbMATH Open document ID: 0613.90057
DOI: 10.1016/0165-0114(86)90008-4
author: Janusz Kacprzyk
published in: Fuzzy Sets and Systems
publication date: 1986-01-01T00:00:00Z
review text: Fuzzy multistage decision making (control) models are presented. Two 'generations' of them are distinguished. The first consists of conventional models derived from Bellman and Zadeh's general framework (fuzzy constraints, goals, decision, etc.). The second consists of newer approaches which additionally allow for a more general aggregation of control stage scores (outcomes), e.g., ''... at most of the control stages...'' instead of ''... at all...'' conventionally used. Both generations have roots in papers co-authored by Bellman. They are further steps towards human-consistent (soft) models whose implementaion should be much easier.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 3993290
zbMATH Keywords: fuzzy linguistic quantifier
zbMATH Keywords: Fuzzy multistage decision making
MaRDI profile type: Publication
full work available at URL: 0165-0114(86)90008-4
OpenAlex ID: W2024645281
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description: scientific article; zbMATH DE number 3993290