Fuzzy controls methods.

On Approximation of Controls by Fuzzy Systems

Wang and Mendel proved (1991) that fuzzy systems with product inference, cen-troid defuzziication, and everywhere positive membership functions (in particular, Gaus-sians, Wang, 1992) are capable of approximating any real continuous control function on a compact set to arbitrary accuracy. Kosko (1992) proved that fuzzy systems, in which membership functions have compact support, and combination...

Fuzzy Outranking Methods Including Fuzzy PROMETHEE

The notion of comparatively positioning objects with respect to each other is commonly called ranking. With respect to databases, the ranking issue is closely associated with data retrieval. Yu, Hwang, and Chang (2007) highlight that with the myriad of databases situated online, retrieving relevant data is problematic; in reality it becomes an online ranking problem (Chaudhuri, Das, Hristidis, ...

Scheduling with Fuzzy Methods

Nowadays, manufacturing industries { driven by erce competition and rising customer requirements { are forced to produce a broader range of individual products of rising quality at the same (or preferably lower) cost. Meeting these demands implies an even more complex production process and thus also an appropriately increasing request to its scheduling. Aggravatingly, vagueness of scheduling p...

Fuzzy Measures Acquisition Methods

Fuzzy measures are monotonic set functions used for modelling strength of coalition of criteria in multicriteria decision-making. However, the practical application of fuzzy measures is difficult. The problem of fuzzy measures acquisition can be thought as an engineering problem. In our study, we have investigated the issue of fuzzy measures acquisition from an engineering perspective. Many met...

Neuro-Fuzzy Methods