Multistage Fuzzy Control with a Soft Aggregation of Stage Scores
Janusz Kacprzyk · Studies in fuzziness and soft computing · 1998
We discuss multistage fuzzy control in Bellman and Zadeh’s (1970) setting. Instead of the traditional basic formulation which is to find an optimal sequence of controls best satisfying fuzzy constraints and fuzzy goals at all the control stages, we assune a softer requirement that the stage scores (degrees to which the fuzzy constraints and fuzzy goals at a particular control stage are fulfilled) be best satisfied at most, almost all, much more than a half , etc. control stages. Zadeh’s (1983) fuzzy-logic-based calculus of linguistically quantified statements is employed, and the resulting problem is solved by dynamic programming.