Wierman, Mark J. Measuring uncertainty in rough set theory. (English) Zbl 0938.93034 Int. J. Gen. Syst. 28, No. 4-5, 283-297 (1999). This note presents a well justified measure of uncertainty for rough set theory, along with an axiomatic derivation. The connection between this measure and classical measures of uncertainty is also provided. Reviewer: S.Sridhar (Sharjah) Cited in 54 Documents MSC: 93C41 Control/observation systems with incomplete information Keywords:rough sets; measure of uncertainty; information PDF BibTeX XML Cite \textit{M. J. Wierman}, Int. J. Gen. Syst. 28, No. 4--5, 283--297 (1999; Zbl 0938.93034) Full Text: DOI References: [1] DOI: 10.1214/aoms/1177698950 · Zbl 0168.17501 [2] Dempster A. P., Biometrika 54 pp 515– (1967) [3] Hartley R.V.L., The Ball Systems Technical Journal 7 pp 535– [4] Klir G.J., Uncertainty Based Information (1998) · Zbl 0902.68061 [5] Pawluk Z., Rough Set Theory Theoretical Aspects of Reasoning About Data (1991) [6] Shafer G., A Mathematical Theory of Evidence (1976) · Zbl 0326.62009 [7] Shannon C.E., The Bell System Technical Journal 27 pp 379– (1948) · Zbl 1154.94303 [8] Shannon C.E., The Mathematical Theory of Communication (1949) [9] Sugeno M., Theory of Fuzzy Integrals and its Applications (1974) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.