A process for generating quantitative belief functions

✍ Scribed by Noel (Kweku-Muata) Bryson; Ayodele Mobolurin

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 121 KB
• Volume: 115
• Category: Article
• ISSN: 0377-2217
• DOI: 10.1016/s0377-2217(98)00181-7

✦ Synopsis

We present a structured methodology for transforming qualitative preference relationships among propositions into appropriate numeric representations. This approach will be useful in the dicult process of knowledge acquisition from experts on the degree of belief in various propositions or the probability of the truthfulness of those propositions. The approach implicitly (through the qualitative assignments) and explicitly (through the vague interval pairwise comparisons) provides for dierent levels of preference relationships. Among its advantages, it permits the expert to: explore the given problem situation, using linguistic quanti®ers; avoid the premature use of numeric measures; and identify input data that are inconsistent with the theory of belief functions.