Human Knowledge with Fuzzy Ideas

Abstract

Natural language is the most powerful form of conveying information. Most of the predicates in natural language are Fuzzy. Fuzzy logic is a concept to represent vague ideas and it deals with uncertainty. Human knowledge can be represented through an approach using Fuzzy concepts, an approach to computing based on “degree of truth “rather than the usual True or False. Fuzzy Logic uses linguistic variables and are modified with hedges like very, low, slight, approximately etc. and the truth values of propositions are in the range over the unit interval [0, 1] which are called linguistic truth value.

Authors and Affiliations

Er. Ebin P. M

Keywords

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  • EP ID EP408533
  • DOI -
  • Views 139
  • Downloads 0

How To Cite

Er. Ebin P. M (2018). Human Knowledge with Fuzzy Ideas. Invention Journal of Research Technology in Engineering & Management, 2(10), 66-67. https://europub.co.uk/articles/-A-408533