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By Adam Leonard Lyon; University of Maryland (College Park, Md.). Dept. of Physics

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18. RF. Blahut (1988), Principles and Practice of Information Theory, AddisonWesley. 19. Guiasu, S (1977), Information Theory with Applications, McGraw-Hill International Book Company, New York. 20. S. Kullback and R A. Leibler (1951), On information and sufficiency, Annals Math. , 22, 79-86. 21. S. Ihara (1993), Information Theory for continuous systems, World Scientific. 22. G. J. Klir and T. A. J. 23. M. M. Yaglom (1983), Probability and Information, Hindustan Publishing House, Delhi. 24. A.

I. Khinchin (1957), Mathematical Foundations of Information Theory, Dover Publications. 16. K Fadeev (1956), On the concept of entropy of a finite probabilistic scheme (Russian), Uspeki Mat. Nauk, 11, 227-231. 17. M. A. Thomas (1991), Elements of information theory, John Wiley and Sons, NewYork. 18. RF. Blahut (1988), Principles and Practice of Information Theory, AddisonWesley. 19. Guiasu, S (1977), Information Theory with Applications, McGraw-Hill International Book Company, New York. 20. S. Kullback and R A.

S2 suggests that only the singletons in Pn(X) are specific or precise because assigning a single value to a variable is the most specific case. And higher the membership value assigned to the singleton, the higher would be the specificity. 1 is the cardinality and h(A) is the height of A. 8p satisfies properties 81 to 83. Now 8p(A) is used to define a measure of non-specificity as N8p(A) = 1- 8p(A). , {JLA(Xi) = a V i}, and the minimum value is which goes to zero as a --+ O. The limiting case says that when none of the choices satisfies the criterion at any positive level, the specificity is zero.

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