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Topic: Fuzzy logic

Related Topics

Fuzzy set

Rough set

Fuzzy Control Language

Fuzzy control system

Illogical

Logic

Fuzzy associative matrix

Principle of bivalence

Possibility theory

Fuzzy associative matrix

Dynamic logic

List of topics in logic

Set theory

Mathematical logic

Boolean logic

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	Fuzzy logic tutorial.
		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.
		Fuzzy logic control and analysis systems may be electro-mechanical in nature, or concerned only with data, for example economic data, in all cases guided by "If-Then rules" stated in human language.
		It is based on fuzzy perceptions, fuzzy truths, fuzzy inferences, etc., all resulting in an averaged, summarized, normalized output, which is given by the human a precise number or decision value which he or she verbalizes, writes down or acts on.
	www.fuzzy-logic.com /Ch1.htm (3115 words)

	Smart Computing Encyclopedia Entry - fuzzy logic (Site not responding. Last check: 2007-11-07)
		Fuzzy logic almost sounds like a contradiction in terms, but to the contrary, the development of this type of logic has led to gains in the realm of AI (artificial intelligence), a science dedicated to making computers behave like humans.
		Fuzzy logic enables this by using soft, or imprecisely defined, linguistic variables instead of numerical variables.
		Fuzzy logic can have a wide range of uses for solving real-world problems, from engineering to data analysis, because it is a systematic way for handling imprecise or approximate information.
	www.smartcomputing.com /editorial/dictionary/detail.asp?guid=8CF5E5CB35CB42E1857F6F42970E2A2C&searchtype=1&DicID=17426&RefType=Encyclopedia (548 words)

	Fuzzy logic servo controller - Patent 5497063
		Fuzzy logic is a well known technique for controlling mathematically ill-understood processes In fuzzy logic, the rules-of-thumb of experts are captured as fuzzy decision rules that are used to approximate the tradeoffs that would be made by a human expert.
		2 is a schematic representation of the fuzzy logic of FIG.
		Fuzzy rules 4 through 6 differ from the other fuzzy rules in that they employ the conjunction "and" which is interpreted in the context of this fuzzy logic controller 10 as taking the minimum value of the two membership values 52 connected by the word "and".
	www.freepatentsonline.com /5497063.html (5054 words)

	Fuzzy Logic Rice Cooker
		Whereas classical logic holds that everything can be expressed in binary terms (0 or 1, fl orwhite, yes or no), fuzzy logic replaces boolean truth values with degreesof truth which are very similar to probabilities, except they need not add up to 100%.
		Fuzzy logic is controversial: it is widely accepted within the engineering and computer science communities, but generallyrejected by mathematicians and statisticians because it seems to contradict the principle of bivalence.
		Fuzzy logic can be used to control household appliances such as washing machines (which sense load size and detergent concentration and adjust their wash cycles accordingly) and refrigerators.
	www.altvetmed.com /face/38196-fuzzy-logic-rice-cooker.html (1263 words)

	fuzzy logic. The Columbia Encyclopedia, Sixth Edition. 2001-05
		Fuzzy logic allows for partial membership in a set, values between 0 and 1, shades of gray, and maybe—it introduces the concept of the “fuzzy set.” When the approximate reasoning of fuzzy logic is used with an expert system, logical inferences can be drawn from imprecise relationships.
		Fuzzy logic theory was developed by Lofti A. Zadeh at the Univ. of California in the mid 1960s.
		Fuzzy logic is now used to optimize automatically the wash cycle of a washing machine by sensing the load size, fabric mix, and quantity of detergent and has applications in the control of passenger elevators, household appliances, cameras, automobile subsystems, and smart weapons.
	www.bartleby.com /65/fu/fuzzylogi.html (279 words)

	Fuzzy Logic (Stanford Encyclopedia of Philosophy)
		Saying “yes” (which is the mainstream of fuzzy logic) one accepts the truth-functional approach; this makes fuzzy logic to something distinctly different from probability theory since the latter is not truth-functional (the probability of conjunction of two propositions is not determined by the probabilities of those propositions).
		Fuzzy logic in the narrow sense is symbolic logic with a comparative notion of truth developed fully in the spirit of classical logic (syntax, semantics, axiomatization, truth-preserving deduction, completeness, etc.; both propositional and predicate logic).
		This fuzzy logic is a relatively young discipline, both serving as a foundation for the fuzzy logic in a broad sense and of independent logical interest, since it turns out that strictly logical investigation of this kind of logical calculi can go rather far.
	plato.stanford.edu /entries/logic-fuzzy (3346 words)

	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.
		Fuzzy Logic should offer more intelligent control now, when it is needed, rather than waiting until the problem has become catastrophic.
	www.omega.com /techref/fuzzylogic.html (1277 words)

	Fuzzy Logic
		Fuzzy logic is a branch of machine intelligence that helps computers paint gray, commonsense pictures of an uncertain world.
		Fuzzy logic manipulates such vague concepts as "warm" or "still dirty" and so helps engineers to build air conditioners, washing machines and other devices that judge how fast they should operate or shift from one setting to another even when the criteria for making those changes are hard to define.
		Fuzzy sets of two objects are points of the square,such as the point A. The union and the intersection of a fuzzy set A and its complement A* lie at the corners of an interior square.
	www.fortunecity.com /emachines/e11/86/fuzzylog.html (4865 words)

	Circuit for loading a memory rules for a fuzzy logic microprocessor upon start-up of the circuit - Patent 6035385
		Consequently, the combination of a logic processor and a fuzzy logic processor on one and the same integrated circuit is quite worthwhile because, without necessitating a large additional memory, it enables the integration of a particularly efficient function (namely the fuzzy logic function).
		Nor it is possible to use the approach in which a single memory is made and shared between the needs of the logic processor and those of the fuzzy logic processor, for the address buses, the data buses and the control buses of the two processors are not structured in the same way.
		A feature of the invention is the fact that the fuzzy logic coprocessor now has a volatile random-access memory 19 instead of the fuzzy memory 17 which was naturally a non-volatile memory in order to be able to contain the instructions to be carried out.
	www.freepatentsonline.com /6035385.html (3352 words)

	fuzzy logic
		Unlike Aristotle fuzzy logic acknowledges the fact that nothing in the real world is always true or false but shades in between the two extremes.
		Fuzzy logic would then say that ten-percent of the car is in the second space and ninety-percent in the first.
		Fuzzy logic matches closer to what we know the real world to be like.
	www.paulbunyan.net /users/gsirvio/nonlinear/fuzzylogic.html (3309 words)

	Tutorial (Fuzzy Logic Toolbox) (Site not responding. Last check: 2007-11-07)
		The point of fuzzy logic is to map an input space to an output space, and the primary mechanism for doing this is a list of if-then statements called rules.
		This section is designed to guide you through the fuzzy logic process step by step by providing an introduction to the theory and practice of fuzzy logic.
		Since the field of fuzzy logic uses many terms that do not yet have standard interpretations, you should consider reading this section just to become familiar with the fuzzy inference process as it is employed here.
	www.technion.ac.il /guides/matlab/toolbox/fuzzy/fuzzytut.html (466 words)

	A brief history of Fuzzy Logic
		Fuzzy Logic: A set of conventional logic that has been spread out to handle values that are pertially true.
		If you were to humanize a computer, you will have to use fuzzy logic to imitate the way a human brain works, and attempt to turn artificial intelligence into real intelligence.
		Fuzzy sets are not the same as fuzzy logic.
	www.andrews.edu /~calkins/math/biograph/topfuzzy.htm (450 words)

	fuzzy logic - NetLingo Internet Dictionary \| Online Dictionary of Computer and Internet Terms, Acronyms & Text Messaging (Site not responding. Last check: 2007-11-07)
		Fuzzy logic has proved to be particularly useful in expert systems and other artificial intelligence (AI) applications and is usually used as the underlying logic system for fuzzy expert systems.
		Fuzzy logic is a superset of conventional logic (also known as "Boolean logic") that has been extended to handle the concept of partial truth-truth values between "completely true" and "completely false."
		Lotfi Zadeh of UC Berkeley introduced fuzzy logic in the 1960's as a means to model the uncertainty of natural language.
	www.netlingo.com /lookup.cfm?term=fuzzy+logic (235 words)

	Fuzzy Logic: Product Information
		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.
		This interactive document format not only is useful to professionals working on a complex fuzzy model but also is ideal for presenting concepts to students and allows them to turn in completed homework assignments and lab reports either electronically or on paper as a printed notebook.
		Fuzzy Logic 2.0.2 requires Mathematica 5.0-5.2 and is available for all Mathematica platforms.
	www.wolfram.com /products/applications/fuzzylogic (325 words)

	Fuzzy Logic
		Fuzzy logic is a branch of mathematics that counters the traditional assumption that everything within a universe of discourse either belongs to a given set within that universe or does not.
		Contrary to the images conjured by its name, fuzzy logic is a precise branch of mathematics which has the ability to quantify data that would otherwise remain vague and, as a result, of little use.
		Opposition to fuzzy logic has calmed somewhat, not generally as a result of open minds or increased understanding of the field, but rather as a natural consequence of real-world applications that demonstrate its efficacy and superiority over non-fuzzy logic-based equivalents.
	www.msu.edu /user/windersc/essays/fuzzy_logic.html (1538 words)

	MSI --- >> Press Center (Site not responding. Last check: 2007-11-07)
		Fuzzy Logic™ 3 provides enhanced mode for experienced users to automatically detect the stability of the processor.
		Fuzzy Logic ™ 3 uses a clear and easy to use interface, providing the status and information of the processor to the user.
		Fuzzy Logic™ 3 Artificial Intelligent speeding up tool is a utility developed solely by MSI™.
	www.msi.com.tw /program/newsrelease/news_page.php?UID=38 (368 words)

	Fuzzy Logic
		Many popular descriptions claim that "fuzzy logic" represents a significant shift in outlook, i.e., a "new way of thinking" about the world, and that this enables a new set of solutions to problems that have traditionally been treated with old-fashioned "unfuzzy" logic.
		The applications of fuzzy logic most often mentioned are in the area of controls theory.
		Whether a fuzzy approach could achieve the same level of design efficiency as the difeq approach in a given application is debateable, since the criterion for judging control system response is often somewhat subjective.
	www.mathpages.com /home/kmath123.htm (724 words)

	Fuzzy Logic
		Fuzzy logic controls household appliances such as washing machines, which sense load size and detergent concentration and adjust their wash cycles accordingly, and refrigerators.
		Fuzzy Logic can be used to model and deal with imprecise information, such as inexact measurements or available expert knowledge in the form of verbal descriptions.
		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.
	www.aaai.org /AITopics/html/fuzzy.html (2254 words)

	Fuzzy Multidimensional Logic
		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).
		Fuzzy logic is just one of a number of non-standard logics that currently exist and which are used to cope with situations excluded from classical bivalent logic.
		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.
	www.calresco.org /lucas/fuzzy.htm (2859 words)

	Fuzzy Logic and GPS - Benefitting from Uncertainty - GPS World
		Operations on fuzzy sets allow us to handle propositions which may be true or false or kind of partially true.
		The core of a fuzzy logic application is a rule base, and the main processing step is the evaluation of the if-then clauses.
		Figure 5 A fuzzy controller computes a numerical output y' from a numerical input (u',v',...) in a three-step approach: (i) mapping from input to fuzzy sets using membership functions (fuzzification), (ii) evaluation of rules and correlation of the results, (iii) computation of a numerical output from the final membership function (defuzzification).
	www.gpsworld.com /gpsworld/article/articleDetail.jsp?id=49880&&pageID=2 (1347 words)

	Fuzzy Logic
		Fuzzy is going to go out to the 18th green, probably about 95 yards away, and going to hit a shot as close as he can from the pin.
		FUZZY ZOELLER: Again, I think the key to players, any golfer is what the golfer sees from the tee to the fairway.
		FUZZY ZOELLER: If we have a good tournament, a very competitive tournament, and this one over to my left does his job, yeah, it will be right up in there.
	www.pga.com /news/tours/champions/srpgamediaday043003.cfm (5989 words)

	Fuzzy Logic Dot Net - The Code Project - C# Programming
		The Fuzzy Dot Net series of articles intends to break this restrictive chain by publishing a Fuzzy Logic Library that is free to use with no restrictions in whatever context that anyone who comes across the code wishes to use it.
		The principal idea behind the Fuzzy Set is that it holds a range of Fuzzy Numbers that can be used for any purpose the implementer of the set requires for example you could use the set to measure different degrees of cold e.g.
		This brings to an end the introduction to Fuzzy Logic, the sample code for this article is a simple test harness for the classes and is not meant to be anything else.
	www.codeproject.com /csharp/Fuzzy_Dot_Net.asp?df=100&forumid=16365&exp=0&select=579217 (2617 words)

	Introduction (Fuzzy Logic Toolbox) (Site not responding. Last check: 2007-11-07)
		Fuzzy logic can be built on top of the experience of experts.
		The basis for fuzzy logic is the basis for human communication.
		Since fuzzy logic is built atop the structures of qualitative description used in everyday language, fuzzy logic is easy to use.
	www.weizmann.ac.il /matlab/toolbox/fuzzy/fuzzyin2.html (318 words)

	'Fuzzy' logic
		Professor Matthew Yen's research is focused on the application of "fuzzy logic" in the control of equipment such as heaters, motors, pumps, valves and sprinklers used in the food processing industry and other automated agricultural operations.
		Generally speaking, the procedures of fuzzy logic control are these: A set of input data from an array of sensors is fed into the control system.
		Besides temperature controls, fuzzy logic has been implemented or proposed for many other processes in food technology, namely aseptic processing; diagnosis of principle causes of breakage during drying; determination of key ingredients for new products; evaluation of the "doneness" of beef steak; intelligent irrigation; automated feeding systems; and so on.
	cati.csufresno.edu /upda/95/winter/story1.html (472 words)

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