1. Review of Subject Articles 1.1.General Principles and Purposes of Computational Intelligence 1.2.Neural Networks 1.3.Simulated Annealing 1.4.Adaptive Systems 1.5.Biological Intelligence and Computational Intelligence 2. Introduction 3. Computability, Decidability, and Complexity 4. Computational Intelligence and Knowledge-based Systems 4.1.Beginning of Artificial Intelligence (AI) 4.2.Knowle...

This research analyses the suburban expansion in the metropolitan area of Tehran, Iran. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Environmental and socio-economic variables dealing with urban sprawl were operationalised to create a probability surface of...

This paper presents a c omparison of channel allocation schemes for mobile c ellular networks. Three schemes have been evaluated: Fixed Channel Allocation (FCA), Dynamic Channel Allocation (DCA) and Channel Allocation with Space a nd Time Variations (CA STV). The third scheme uses information about mobile users profiles for getting adaptability to traffic fluctuations. Results were obtained u s...

In this paper, the concepts of somewhat fuzzy automata continuous functions and somewhat fuzzy automata open functions in fuzzy automata topological spaces are introduced and some interesting properties of these functions are studied. In this connection, the concepts of fuzzy automata resolvable spaces and fuzzy automata irresolvable spaces are also introduced and their properties are studied.

In this paper, the concept of fuzzy automata normed linear structure spaces is introduced and suitable examples are provided. ;The ;concepts of fuzzy automata $alpha$-open sphere, fuzzy automata $mathscr{N}$-locally compact spaces, fuzzy automata $mathscr{N}$-Hausdorff spaces are also discussed. Some properties related with to fuzzy automata normed linear structure spaces and fuzzy automata $ma...

Myhill-Nerode Theorem is regarded as a basic theorem in the theories of languages and automata and is used to prove the equivalence between automata and their languages. The significance of this theorem has stimulated researchers to develop that on different automata thus leading to optimizing computational models. In this article, we aim at developing the concept of congruence in general fuzzy...

In this note, we define bisimulation for BL-general fuzzy automata and show that if there is a bisimulation between two BL-general fuzzy automata, then they have the same behavior.For a given BL-general fuzzy automata, we obtain the greatest bisimulation for the BL-general fuzzy automata. Thereafter, if we use the greatest bisimulation, then we obtain a quotient BL-general fuzzy automata and th...