In the current study, we define different L-valued operators on LB-valued general fuzzy automata or simply GFA, where B is considered as a complete infinitely distributive lattice of propositions about GFA. particular, this study demonstrates that successor and predecessor induce co-topologies while residuated approximation topologies state set given Further, show continuity separation properti...

In this paper, we study the ability of learning automata-based schemes in escaping from local minima when standard backpropagation (BP) fails to 2nd the global minima. It is demonstrated through simulation that learning automata-based schemes compared to other schemes such as SAB, Super SAB, Fuzzy BP, adaptive steepness method, and variable learning rate method have a higher ability to escape f...

This paper is concerned with the widest class of automaton structures whose semantics is compatible with our notions of state and automaton. It is first shown that the conventional spectrum of deterministic, stochastic, fuzzy and non-deterministic can be fitted into a single framework which is complete. In particular new results on the normalization of fuzzy automata and the relationship betwee...

Because of the reason that the individuals’ thoughts have the complicated and uncertain characteristics in the field of social science, this study makes the most of the fuzzy sets, which solve uncertain and imprecise conditions, to transform the opinions belonging to human beings into the quantitative numbers. Advertising involvement is regarded as the object for this empirical study which comp...

This paper presents a fuzzy inference guided cellular automata approach. Semantic or linguistic knowledge on urban development is expressed as fuzzy rules, based on which fuzzy inference is applied to determine the urban development potential for each pixel. A defuzzification process converts the development potential to the required neighborhood development level, which is taken by cellular au...