TY  - JOUR
AB  - Many concepts of problem solving theory are better understood in an abstract algebraic framework which also applies in automata theory. Because many systems of practical interest fall outside the scope of linear theory, it is desirable to enlarge as much as possible the class of systems for which a complete structure theory is available. The fuzzy system approach is presented as a basis for the design of systems far superior in artificial intelligence to those we can conceive today. The concepts of controllability, observability and minimality are developed, and conditions for the realization of an input‐output map by such a system are given. Several problems, all directly or indirectly related to fuzzification, arise in considering this broader class of systems.
VL  - 3
IS  - 3
SN  - 0368-492X
DO  - 10.1108/eb005367
UR  - https://doi.org/10.1108/eb005367
AU  - NEGOITA C.V.
AU  - RALESCU D.A.
PY  - 1974
Y1  - 1974/01/01
TI  - FUZZY SYSTEMS AND ARTIFICIAL INTELLIGENCE
T2  - Kybernetes
PB  - MCB UP Ltd
SP  - 173
EP  - 178
Y2  - 2024/04/19
ER  -