Computing with words using intuitionistic fuzzy logic programming

  • Authors

    • Ashit Kumar Dutta
    2018-03-01
    https://doi.org/10.14419/ijet.v7i1.9.9815
  • Fuzzy Logic, Intuitionistic Fuzzy, Computing With Words, Computing Perception, Natural Language Processing.
  • Abstract

    Computing with words is the terminology to indicate a set of numbers and words.It is the base for natural language processing and computational theory of perceptions.It is the art to combine both human and machine perception and find a solution for the real world problems left unsolved due to improper mechanism.Animal voice interpreter, lie detector, driving a vehicle in heavy traffic, and natural language interpreter are the applications need to be automated for the next generation.The computational theory is a group of perceptions used to express propositions in a natural language.The concept of the research is to utilize intutionistic fuzzy logic to interpret perceptions to solve vague problems.The output of the research shows that the performance of proposed method is better than the existing methods.

  • References

    1. [1] D. Dubois, H. Fargier, and H. Prade, "The calculus of fuzzy restrictions as a basis for flexible constraint satisfaction", Proc. 2nd IEEE Int. Conf. on Fuzzy Systems, pp. 1131-1136, 1993.

      [2] E. H. Mamdani and B. R. Gaines, Fuzzy Reasoning and Its Applications, 1981.

      [3] G. Qi and G. Friedrich, F. Belli and F. J. Radermacher,, "Extending constraint satisfaction problem solving in structural design", Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 5th Int. Conf., IEA/AIE-92, pp. 341-350, 1992, Springer-Verlag.

      [4] G. Zhang, Y.-H. Wu, M. Remias, and J. Lu, “Formulation of fuzzy linear programming problems as four-objective constrained optimization problems,†Applied Mathematics and Computation, vol. 139, no. 2-3, pp. 383–399, 2003.

      [5] Rajesh, M., and J. M. Gnanasekar. "Path Observation Based Physical Routing Protocol for Wireless Ad Hoc Networks." Wireless Personal Communications 97.1, 1267-1289, 2017.

      [6] H. Rommelfanger, “Fuzzy linear programming and applications,†European Journal of Operational Research, vol. 92, no. 3, pp. 512–527, 1996.

      [7] K. D. Jamison and W. A. Lodwick, “Fuzzy linear programming using a penalty method,†Fuzzy Sets and Systems, vol. 119, no. 1, pp. 97–110, 2001.

      [8] L. Zhang, X. Xu, and L. Tao, “Some similarity measures for triangular fuzzy number and their applications in multiple criteria group decision-making,†Journal of Applied Mathematics, vol. 2013.

      [9] Lotfi A. Zadeh, “From computing with numbers to computing with words from manipulation of measurements to manipulation of perceptionsâ€, International journal of Applied Math. Computer science, Vol. 12, No. 3, pp. 307 – 324, 2002.

      [10] LotfiA.Zadeh, “A new direction in AI – Toward a computational theoryâ€, AI magazine, pp. 73 – 84, 2001.

  • Downloads

  • How to Cite

    Kumar Dutta, A. (2018). Computing with words using intuitionistic fuzzy logic programming. International Journal of Engineering & Technology, 7(1.9), 178-181. https://doi.org/10.14419/ijet.v7i1.9.9815

    Received date: 2018-03-03

    Accepted date: 2018-03-03

    Published date: 2018-03-01