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An inference engine toolkit for computing with words

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Abstract

Computing with Words is an emerging paradigm in knowledge representation and information processing. It provides a mathematical model to represent the meaning of imprecise words and phrases in natural language and introduces advanced techniques to perform reasoning on inexact knowledge. Since its introduction, there have been many studies on computing with words but mostly from the theoretical point of view and the paradigm still lacks sufficient support from the software side. This paper is an attempt to fill this gap by presenting an enhanced inference engine toolkit for supporting computing with words. The scope of the presented toolkit, as opposed to many available fuzzy logic tools, goes beyond simple fuzzy-if-then rules and performs a chain of inferences on complex fuzzy propositions containing fuzzy arithmetics, fuzzy quantifiers, and fuzzy probabilities. The toolkit may be appealing to researchers, practitioners, and educators in knowledge based applications and soft computing as it implements a powerful declarative language which allows users to express their knowledge in a more natural and convenient way and performs a chain of reasoning on imprecise propositions.

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  2. The points values based on DMV point system in Illinois

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Authors and Affiliations

  1. Southern Illinois University Carbondale, Carbondale, IL, 62901, USA

    Elham S. Khorasani, Purvag Patel, Shahram Rahimi & Daniel Houle

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  1. Elham S. Khorasani
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  2. Purvag Patel
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  3. Shahram Rahimi
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  4. Daniel Houle
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Correspondence to Elham S. Khorasani.

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Khorasani, E.S., Patel, P., Rahimi, S. et al. An inference engine toolkit for computing with words. J Ambient Intell Human Comput 4, 451–470 (2013). https://doi.org/10.1007/s12652-012-0137-8

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