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Many-Valued Logics for Modeling Vagueness

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 7
Year of Publication: 2013
Supriya Raheja
Reena Dhadich

Supriya Raheja and Reena Dhadich. Article: Many-Valued Logics for Modeling Vagueness. International Journal of Computer Applications 61(7):35-39, January 2013. Full text available. BibTeX

	author = {Supriya Raheja and Reena Dhadich},
	title = {Article: Many-Valued Logics for Modeling Vagueness},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {7},
	pages = {35-39},
	month = {January},
	note = {Full text available}


Many-Valued logics have been developed to represent mathematical model of imprecision, vagueness, uncertainty and ambiguity in the information. In real world each and every species is vague, human knowledge and the natural languages have a bunch of vagueness or imprecise information. This paper attempts to present three main theories of many-valued logics to treat the vagueness: Fuzzy Logic, Vague Logic and Neutrosophic Logic. Author touches the various perspectives logical, algebraic operation, graphical representations and the practical usage. This paper addresses the modeling of vagueness. Author introduces the framework, Vague Inference System (VIS) for modeling the vagueness using vague logic.


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