An improved conflicting evidence combination approach based on a new supporting probability distance. Issue 12 (15th July 2015)

• Record Type: Journal Article
• Authors: Yu, Cholsok; Yang, Jianhong; Yang, Debin; Ma, Xianghong; Min, Hyonchun
• Is Part Of: Expert systems with applications. Volume 42:Issue 12(2015)
• Page Start: 5139
• Page End: 5149
• Publication Date: 2015-07-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.02.038
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st095">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0280">New concepts of supporting probability function and its distance are proposed.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0285">A novel combination method based on supporting probability distance is proposed.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0290">The new distance is a better measure for conflict information containing non-singleton elements.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0295">The proposed method can obtain more reasonable result than that of the pignistic distance method.</p> </list-item> </list> </p> </sec> </abstract>