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IF-preorder, IF-topology and IF-automata

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Abstract

The concept of topologies are widely used in machine learning, and fuzzy automata are used as models of machine learning systems. An advantage of employing fuzzy automaton as a model of machine learning system is its simplicity in design and computation. Also, some standard topological concepts and ideas are used in fuzzy automata and IF-automata to obtain certain results therein. In view of above, it seems that IF-topologies and IF-automata may play vital role in the study of machine learning; the purpose of this work is to introduce and study IF-topologies and to use such studies in the theory of IF-automata.

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Notes

  1. http://www.dmitry-kazakov.de/fuzzy-ai/on-fuzzy-machine-learning.htm

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Acknowledgments

The authors are grateful to the referees for their valuable observations and suggestions for improving the paper. The author acknowledge with thanks the support received through a research grant, provided by the Council of Scientific and Industrial Research, New Delhi, under which this work has been carried out.

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  1. Department of Applied Mathematics, Indian School of Mines, Dhanbad, 826004, India

    S. P. Tiwari & Anupam K. Singh

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  1. S. P. Tiwari
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  2. Anupam K. Singh
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Correspondence to S. P. Tiwari.

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Tiwari, S.P., Singh, A.K. IF-preorder, IF-topology and IF-automata. Int. J. Mach. Learn. & Cyber. 6, 205–211 (2015). https://doi.org/10.1007/s13042-013-0191-3

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