an:04029469
Zbl 0632.94039
Klir, George J.; Mariano, Matthew
On the uniqueness of possibilistic measure of uncertainty and information
EN
Fuzzy Sets Syst. 24, 197-219 (1987).
00153495
1987
j
94D05 94A17
fuzzy measures; possibility distribution function; axiomatic development; possibilistic measure of uncertainty
Under a set of axioms, which, except one, are all counterparts of the probabilistic axioms used in defining entropy, the authors prove that the (previously) derived possibilistic measure of uncertainty is unique. The axioms are discussed and some lemmas are derived. However, the necessity of all the axioms is not proved and some of them (U3 plus U4, or U7) seem to be too strong. On the other hand, the proof of uniqueness is done only for finite sets on which the possibilistic measures are defined. It would be interesting to derive a measure of uncertainty with axiom U5 referring to fuzzy topological spaces.
H.N.Teodorescu