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From Biological Analogs to Robotic Embodiment: A Systematic Biomimetic Translation Framework Mediated by Traditional Craft. [PDF]
Biomimetics (Basel)Li J, Wu F, Xiao C.
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Identification and prioritization of physiological and perceptual indicators for heat stress assessment in Iranian labor-intensive industries using Fuzzy Delphi and Fuzzy Analytic Hierarchy Process methods. [PDF]
BMC Public HealthMousavi SM, Dehghan H, Yazdanirad S.
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Location selection of emergency support and logistics centers under complex urban infrastructure disruptions. [PDF]
Sci ProgKara B +4 more
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A fuzzy expert database system
Data & Knowledge Engineering, 1989Abstract Fuzzy concepts always exist in much of human reasoning as well as decision making. This paper presents a fuzzy expert database system which is an integration of a fuzzy expert system building tool called SYSTEM Z-II and a database management system called Rdb/VMS.
Kwong-Sak Leung +2 more
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Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, 2002
For developing fuzzy control systems and fuzzy expert systems, we have several shells. We describe two shells for expert systems, FPS (Fuzzy Production System) developed by the authors and FINEST (Fuzzy Inference Environment Software with Tuning) being developed in LIFE (Laboratory for International Fuzzy Engineering Research).
Motohide Umano +2 more
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For developing fuzzy control systems and fuzzy expert systems, we have several shells. We describe two shells for expert systems, FPS (Fuzzy Production System) developed by the authors and FINEST (Fuzzy Inference Environment Software with Tuning) being developed in LIFE (Laboratory for International Fuzzy Engineering Research).
Motohide Umano +2 more
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Fuzzy concepts in expert systems
Computer, 1988The authors present a comprehensive expert-system building tool, called System Z-II, that can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system.
Kwong-Sak Leung, W. Lam
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A fuzzy logic system for expert systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1988Using the theory of fuzzy sets, this paper develops a fuzzy logic reasoning system as an augmentation to a rule-based expert system to deal with fuzzy information. First, fuzzy set theorems and fuzzy logic principles are briefly reviewed and organized to form a basis for the proposed fuzzy logic system.
Te-Chuan Chang +2 more
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Information Sciences, 1985
The paper is addressed to studies of several ways of using fuzzy sets, especially fuzzy logic in expert systems to cope with different forms of uncertainty. This uncertainty is attached to probability values (linguistic probabilities) and attribute values.
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The paper is addressed to studies of several ways of using fuzzy sets, especially fuzzy logic in expert systems to cope with different forms of uncertainty. This uncertainty is attached to probability values (linguistic probabilities) and attribute values.
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Fuzzy Sets and Systems, 1986
We describe a fuzzy rule based expert production system. The system accepts as input a fuzzy vector all of whose components are fuzzy sets, and produces as output a fuzzy set of conclusions. Non-fuzzy data are stored as fuzzy data with grade of membership one; internally, all data are considered fuzzy.
J.J. Buckley, W. Siler, Douglas Tucker
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We describe a fuzzy rule based expert production system. The system accepts as input a fuzzy vector all of whose components are fuzzy sets, and produces as output a fuzzy set of conclusions. Non-fuzzy data are stored as fuzzy data with grade of membership one; internally, all data are considered fuzzy.
J.J. Buckley, W. Siler, Douglas Tucker
openaire +1 more source