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Computing with words beyond quantitative words: Incongruity modeling
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015Soft computing and computing with words (CWW) operate with uncertain natural language (NL) statements to make NL statements more exact. Currently these NL statements in CWW are limited by quantitative concepts. This paper expands CWW beyond quantitative words to texts that contain incongruities.
Kovalerchuk, Boris, Smigaj, Andrew
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Ontology-Enhanced Computing with Words
NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society, 2006Computing with words introduced by Zadeh becomes a significant concept in processing of knowledge. It is especially important for building intelligent systems addressing aspects related to human-centric computing. The issue of representation of individual's perceptions and personalization of propositions is essential for such systems.
Marek Reformat, Cuong Ly
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
Computing with words is defined, in this paper, to be a symbolic generalization of fuzzy logic, which admits self-reference. It entails the randomization of declarative knowledge, which yields procedural knowledge. Such randomization can occur at two levels.
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Computing with words is defined, in this paper, to be a symbolic generalization of fuzzy logic, which admits self-reference. It entails the randomization of declarative knowledge, which yields procedural knowledge. Such randomization can occur at two levels.
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COMPUTING WITH WORDS-SEMANTICS
Computational Intelligent Systems for Applied Research, 2002Summary form only given. The increasing amount of hyperlinked human knowledge available on the Web has shifted the research focus to the search engines that will deliver the needed information quickly. This demand has triggered a revisitation of the long-standing issue of semantics, which was never addressed adequately by information theory or ...
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Fuzzy Logic = Computing with Words
IEEE Transactions on Fuzzy Systems, 1996As its name suggests, computing with words (CW) is a methodology in which words are used in place of numbers for computing and reasoning. The point of this note is that fuzzy logic plays a pivotal role in CW and vice-versa. Thus, as an approximation, fuzzy logic may be equated to CW. There are two major imperatives for computing with words.
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From computing with numbers to computing with numeric words
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017In 2008, Lotfi Zadeh concluded that to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. In previous papers we introduced the computational information conservation theory (CICT) approach to get more effective and reliable cognitive, biophysical, and biomedical engineering simulation solutions.
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Computing with Words in Control
1999This chapter describes a supervisory fuzzy controller which is used to advise, or train, people who are in control of a complex plant. The supervisory fuzzy controller is designed to interact with the human operators through accepting verbal evaluations and producing verbal suggestions.
James J. Buckley, Thomas Feuring
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Computing with words in information retrieval
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002A study of the use of computing with words in information retrieval processes is presented in this paper. The lack of user-friendly communication interfaces between the user and the system in traditional retrieval approaches is rectified with the use of fuzzy logic at the different levels of the retrieval process.
F. Berzal +3 more
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Computing with 10,000-bit words
2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2014Today's computers compute with numbers and memory pointers that hardly ever exceed 64 bits. With nan-otechnology we will soon be able to build computers with 10,000-bit words. How would such a computer work and what would it be good for? The paper describes a 10,000bit architecture that resembles von Neumann's.
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AN ALTERNATIVE APPROACH TO COMPUTING WITH WORDS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001An alternative theory of linguistic variables is introduced based on voting model semantics. This theory is then applied to computing with words whereby a calculus is introduced for inference from linguistic facts and rules.
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