A Fuzzy Deduction Graph Model for Computing with Words

Author

Shukla, Pragya ; Tokekar, Sanjiv ; Jain, Suresh

Author_Institution

Inst. of Eng. & Technol., Devi Ahilya Vishwavidyalaya, Indore, India

fYear

2011

fDate

18-20 Nov. 2011

Firstpage

121

Lastpage

128

Abstract

This paper presents a model of computing with words using fuzzy deduction graph (FDG). The issue of how to represent and reason about rules containing words that is fuzzy in its nature is addressed in the FDG model. The premises are assumed to be expressed as propositions in a natural language. We refer to fuzzy rules as the rules with certainty factors. Then, the rules of inference in fuzzy logic are employed to propagate the constraints from premises to conclusions. Motivated by Cao and Chen [5] model of computing with words on fuzzy Petri nets, we have developed the model on FDG. This concept is then applied to reasoning with linguistic quantifiers.

Keywords

Petri nets; computational linguistics; fuzzy reasoning; fuzzy set theory; natural language processing; FDG model; certainty factors; fuzzy Petri nets; fuzzy deduction graph model; fuzzy logic; fuzzy reasoning; fuzzy rules; inference rules; linguistic quantifier; natural language; propositions; Computational modeling; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Natural languages; Valves; Computing with word; certainty factor; fuzzy deduction graph; fuzzy reasoning; production rules; rule base system;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Trends in Engineering and Technology (ICETET), 2011 4th International Conference on

Conference_Location

Port Louis

ISSN

2157-0477

Print_ISBN

978-1-4577-1847-2

Type

conf

DOI

10.1109/ICETET.2011.55

Filename

6120567