Drawbacks of basic Fuzzy Logic. Many researchers have proposed different rules of combining conjunctive or disjunctive clauses: for example, instead of taking the minimum or the maximum of the membership functions, they take the arithmetic or the geometric mean. These rules are arbitrary, and there are lots of them. Fuzzy logic was used because of the following: the SCR system is a nonlinear, multiple factor dependent system, and the information causing ammonia slip, for most cases, is not clearly defined.
Sep 22, 2017 2 Answers., studied Mathematical Modeling & Biology at Louvain-la-Neuve (1981) Disadvantage: most people think that fuzzy logic is not accurate and rigorous. However it is the most efficient tool to solve 99% of our logic problems. If we had boolean (binary, non-fuzzy) brains, we would be seriously unable to survive.
AnswerWiki User09/04/2012
Advantages of fuzzylogic:
Risk analysis is an important step in designing the reliable transportation and communication systems. Methods of fuzzy logic can provide a convenient way to conduct risk analyses. The article describes an application of fuzzy logic and fuzzy approach into risk analyses and into risk management process. Fuzzy engineering is an industry term which generally refers to the design of a product that benefits from fuzzy logic. Fuzzy logic contracts with traditional digital logic in that it utilizes a. Jan 02, 2019 Fuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: simplicity and flexibility. Can handle problems with imprecise and incomplete data. Can model nonlinear functions of arbitrary complexity. Cheaper to develop, cover a.
· Uses linguistic variables
· Allows imprecise/contradictory inputs
· Permits fuzzy thresholds
· Reconciles conflicting objectives
· Rule base or fuzzy sets easily modified
· Relates input to output in linguistic terms, easilyunderstood
· Allows for rapid prototyping because the system designerdoesn't need to know everything about the system beforestarting
· Cheaper because they are easier to design
· Increased robustness
· Simplify knowledge acquisition and representation
Fuzzy Logic Examples
· A few rules encompass great complexity
· Can achieve less overshoot and oscillation
· Can achieve steady state in a shorter time interval (Rao,1995)
(http://www.scribd.com/doc/37483809/19/Disadvantages-of-Fuzzy-Logic-Controllers)
Disadvantages Of Fuzzy Logic Pdf File
· Hard to develop a model from a fuzzy system Microsoft free downloads windows 7.
· Require more fine tuning and simulation before operational
Introduction To Fuzzy Logic
· Have a stigma associated with the word fuzzy (at least in theWestern world); engineers and most other people are used tocrispness and shy away from fuzzy control and fuzzy decision making(http://www.scribd.com/doc/37483809/19/Disadvantages-of-Fuzzy-Logic-Controllers)
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