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| | Fuzzy logic - Wikipedia, the free encyclopedia |
 | | In fact, fuzzy logic wasn't largely used at that time, and today it is used to solve very complex problems in the AI area. | | | Fuzzy logic is controversial despite wide acceptance: it is rejected by some control engineers for validation and other reasons, and by some statisticians who hold that probability is the only rigorous mathematical description of uncertainty. | | | Fuzzy logic is specifically designed to deal with imprecision of facts (fuzzy logic statements), while probability deals with chances of that happening (but still considering the result to be precise). |
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http://en.wikipedia.org/wiki/Fuzzy_logic
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| | Fuzzy logic tutorial. |
| | Fuzzy logic theorists would call it using fuzzy algorithms (algorithm is another word for procedure or program, as in a computer program). | | | Fuzzy Algorithm - An algorithm is a procedure, such as the steps in a computer program. | | | Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly complex systems, is the only way to solve the problem. |
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http://www.fuzzy-logic.com/Ch1.htm
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| | OMEGA ENGINEERING - FUZZY LOGIC |
| | Fuzzy Logic is a particular area of concentration in the study of Artificial Intelligence and is based on the value of that information which is neither definitely true nor false. | | | Fuzzy Logic attempts to emulate what the human response would be and apply the most intelligent fit to the data. | | | Another benefit of Fuzzy Logic in a control system is to quantify the input signal in a sometimes "noisy" environment. |
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http://www.omega.com/techref/fuzzylogic.html
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| | Fuzzy Logic |
| | Fuzzy logic is a branch of machine intelligence that helps computers paint gray, commonsense pictures of an uncertain world. | | | Fuzzy logic is based on rules of the form "if...then" that convert inputs to outputs-one fuzzy set into another. | | | A further problem is that, like any other mathematical or computer model, fuzzy logic falls prey to the "curse of dimensionality": the number of fuzzy rules tends to grow exponentially as the number of system variables increases. |
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http://www.fortunecity.com/emachines/e11/86/fuzzylog.html
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| | [No title] |
| | Examples of expert systems with fuzzy logic central to their control are decision-support systems, financial planners, diagnostic systems for determining soybean pathology, and a meterological expert system in China for determining areas in which to establish rubber tree orchards [14]. | | | Fuzzy systems, it should be noted, kay no claim to establishing a formal procedure for assignments at this level; in fact, the only argument for a particular assignment is its intuitive strength. | | | Ultimately, it will be demonstrated that the use of fuzzy systems makes a viable addition to the field of Artificial Intelligence, and perhaps more generally to formal mathematics as a whole. |
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http://www.ortech-engr.com/fuzzy/tutor.txt
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| | fUSION Anomaly. Fuzzy Logic |
| | Fuzzy Logic, form of computer logic used in some expert systems and other artificial intelligence programs. | | | Fuzzy logic allows a computer to calculate with a range of comparative values, approximately as human beings estimate likelihoods. | | | Because, almost by definition, commonsense knowledge is that knowledge which is not representable as a collection of well-formed formulae in predicate logic or other logical systems which have the same basic conceptual structure as predicate logic. |
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http://fusionanomaly.net/fuzzylogic.html
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| | Fuzzy Logic |
| | Both neural networks and fuzzy logic aspire to allow electronic systems, built with familiar circuit techniques or employing conventional computing technologies, to attack certain problems in a way that mimics human responses and abilities. | | | Professor Zadeh's paper on fuzzy sets introduced the concept of a class with unsharp boundaries and marked the beginning of a new direction by providing a basis for a qualitative approach to the analysis of complex systems in which linguistic rather than numerical variables are employed to describe system behavior and performance. | | | In fuzzy systems, values are indicated by a number (called a truth value) in the range from 0 to 1, where 0.0 represents absolute falseness and 1.0 represents absolute truth. |
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http://www.aaai.org/AITopics/html/fuzzy.html
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| | Fuzzy Multidimensional Logic |
| | The logic employed in computers is of the two valued kind, which we can represent by voltages, 0 and 1. | | | In fuzzy logic we rate each variable as a fuzzy truth value, giving 1 to the best option, 0 to the worst and proportionate in between (we could alternatively rate them with respect to a theoretical or practical minimum and maximum for the variable in question). | | | The implications of these wider logics have yet to be widely studied, but by merging a number of them we can perhaps derive a common form of decision logic that can apply to multi-level complex systems, values and dynamical science alike. |
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http://www.calresco.org/lucas/fuzzy.htm
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| | [No title] |
| | Fuzzy Logic is a paradigm for an alternative design methodology which can be applied in developing both linear and non-linear systems for embedded control. | | | Fuzzy Logic enables you to use a simple rule based approach which offers significant cost savings, both in memory and processor class. | | | Using Fuzzy Logic we can describe the output as a function of two or more inputs linked with operators such as AND. |
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http://www.aptronix.com/fide/whyfuzzy.htm
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| | 'Fuzzy' logic |
| | Zadeh and is based on the "fuzzy estimation" or "chunking" of human thinking rather than precise mathematical computation. | | | A control system based on fuzzy logic has the following advantages: 1) It is easy to implement since it uses "if-then" logic instead of sophisticated differential equations; 2) It is understandable by people who do not have process control backgrounds; and 3) Software and hardware tools are readily available for applying this technology. | | | Professor Yen is interested in input and/or support from the private industry on other potential applications of fuzzy logic. |
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http://cati.csufresno.edu/upda/95/winter/story1.html
(472 words)
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| | Fuzzy Logic |
| | Fuzzy logic in the broad sense (older, better known, heavily applied but not asking deep logical questions) serves mainly as apparatus for fuzzy control, analysis of vagueness in natural language and several other application domains. | | | It is a branch of many-valued logic based on the paradigm of inference under vagueness. | | | In the analogy to various definitions of operations on fuzzy sets (intersection, union, complement, …) one may ask how propositions can be combined by connectives (conjunction, disjunction, negation, …) and if the truth degree of a composed proposition is determined by the truth degrees of its components, i.e. |
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http://plato.stanford.edu/entries/logic-fuzzy
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| | XpertRule Software Ltd Fuzzy Logic |
| | The fuzzy logic implementation in Knowledge Builder was developed with three objectives in mind; to provide comprehensive features, to maintain ease of use and to integrate seamlessly with the non fuzzy (crisp) Rules in Knowledge Builder. | | | A Fuzzy Rules Object can contain both Fuzzy and non-Fuzzy Attributes (where the fuzzyMV is assumed to be 1.0 for the selected Value and 0.0 for all other Values). | | | Rule based logic has been used to capture human expertise in classification, assessment, diagnostic and planning tasks. |
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http://www.attar.com/pages/fuzzy.htm
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| | Fuzzy Logic: Product Information |
| | The package's built-in functions help you at every stage of the fuzzy logic design process as you define inputs and outputs, create fuzzy set membership functions, manipulate and combine fuzzy sets and relations, apply inferencing functions to system models, and incorporate defuzzification routines. | | | Experienced fuzzy logic designers will find it easy to use the package to research, model, test, and visualize highly complex systems. | | | Ideal for engineers, researchers, and educators, Fuzzy Logic provides practical examples that introduce you to basic concepts of fuzzy logic and demonstrate how to effectively apply the tools in the package to a wide variety of fuzzy system design tasks. |
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http://www.wolfram.com/products/applications/fuzzylogic
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| | Fuzzy Logic Sources of Information |
| | My personal fuzzy logic bibliography is available here - mainly references to type 2 and interval valued fuzzy sets but also some other relating to determining membership functions, some neural networks and some neuro fuzzy. | | | Available online is a working paper on fuzzy inferencing systems which describes fuzzy inferencing systems and discusses many of the issues faced by fuzzy systems developers. | | | This source is constantly changing but is an attempt to draw as many of the sources of fuzzy logic information together. |
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http://www.cse.dmu.ac.uk/~rij/fuzzy.html
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| | PC AI - Fuzzy Logic |
| | Overview: Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the uncertainty in data. | | | What is fuzzy logic and how is it used, fuzzy expert systems, fuzzy numbers and arithmetic, and fuzzy state machines. | | | AHC is a technology transfer company that specializes in the research and development of advanced software technologies and their application to complex technical problems. |
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http://www.pcai.com/web/ai_info/fuzzy_logic.html
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| | [No title] |
| | Unlike classical logic which requires a deep understanding of a system, exact equations, and precise numeric values, Fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. | | | In a sense, fuzzy logic resembles human decision making with its ability to work from approximate data and find precise solutions. | | | Fuzzy provides a remarkably simple way to draw definite conclusions from vague, ambiguous or imprecise information. |
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http://www.aptronix.com/fide/whatfuzzy.htm
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| | FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] |
| | FuNeGen 1.0 is a fuzzy neural system capable of generating fuzzy classification systems (as C-code) from sample data. | | | In SUM composition, the combined output fuzzy subset is constructed by taking the pointwise sum over all of the fuzzy subsets assigned to the output variable by the inference rule. | | | In MAX composition, the combined output fuzzy subset is constructed by taking the pointwise maximum over all of the fuzzy subsets assigned to the output variable by the inference rule. |
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http://www.faqs.org/faqs/fuzzy-logic/part1
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| | Fuzzy Sets and Fuzzy Logic |
| | Theorem 3.20: Given a t-norm i and an involutive fuzzy complement c, the binary operation u on [0,1] defined by u(a,b) = c(i(c(a),c(b))) for all a,b in [0,1] is a t-conorm such that (i,u,c) is a dual triple. | | | Theorem 3.21: Given a t-conorm u and an involutive fuzzy complement c, the binary operation i on [0,1] defined by i(a,b) = c(u(c(a),c(b))) for all a,b in [0,1] is a t-norm such that (i,u,c) is a dual triple. | | | A(x) is defines and the degree to which x belongs to A. Let cA denote a fuzzy complement of A of type c. |
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http://members.aol.com/btluke/fuzzy01.htm
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| | Fuzzy logic tutorial. |
| | Most books about fuzzy logic are written by Ph.D.'s at the Ph.D. level, and it is difficult and time consuming for the average person to grasp the nature and value of fuzzy logic. | | | Fuzzy Logic - A Powerful New Way to Analyze and Control Complex Systems | | | The three-chapter book linked to below makes fuzzy logic understandable and usable for us "Just Plain Folks". |
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http://www.fuzzy-logic.com
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| | Fuzzy archive: By Thread |
| | The code for fuzzy c-means algorithm Zhihao Zhang | | | Re: coupling neural networks and fuzzy logic for forecasting purposes Russell Hersberger | | | Re: coupling neural networks and fuzzy logic for forecasting purposes Tomas Jura |
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http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail
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| | Free Fuzzy Logic Libarary |
| | The Free Fuzzy Logic Library (FFLL) is an open source fuzzy logic class library and API that is optimized for speed critical applications, such as video games. | | | A book containing over 650 pages of AI programming gems. | | | FFLL is able to load files that adhere to the IEC 61131-7 standard. |
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http://ffll.sourceforge.net
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| | Welcome to Fuzzy Logic |
| | All sub-pages, the Fuzzy Logic Muck logo, and any other original images are copyright © Beshon. | | | Fuzzy Logic MUCK is copyright © its creators. | | | Log in as a guest for your visit by typing: |
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http://www.lionking.org/~beshon/fuzzylogic
(44 words)
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| | Amazon.com: Fuzzy Logic Get Fuzzy 2: Books: Darby Conley |
| | Amazon.com: Fuzzy Logic Get Fuzzy 2: Books: Darby Conley | | | Rob, Bucky, and Satchel return in Fuzzy Logic, the follow-up to The Dog Is Not A Toy (House Rule #4). | | | Write an online review and share your thoughts with other customers. |
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http://www.amazon.com/exec/obidos/tg/detail/-/0740721984?v=glance
(1196 words)
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