Reasoning with vague truth

✍ Scribed by Swapan Raha; Kumar Sankar Ray

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 886 KB
• Volume: 105
• Category: Article
• ISSN: 0165-0114
• DOI: 10.1016/s0165-0114(97)00219-4

✦ Synopsis

This paper presents a theoretical study of a formal technique for representing and manipulating partially true vague knowledge in computer. Our approach to the representation and manipulation of such truth-qualified vague knowledge is based on the theory of possibility due to Zadeh. We have introduced a concept of similarity index, a measure of likeness of fuzzy sets of the same type. Using the concept of similarity index, we have formulated a method tbr reasoning with partially truth-qualified vague knowledge. Examples have been considered to illustrate the usefulness of the proposed method.