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Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process
1998
International Journal of Approximate Reasoning
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defuzzification method) involved in the definition of the implication function and in the rest of the inference process. ...
This paper analyzes the performance of some fuzzy implications proposed in the bibliography together with the operators needed for their definition and for the fuzzy inference process, Examining the specialized ...
In this paper the role and significance of the operators involved in the definition of the fuzzy implication operator and in the fuzzy inference process are investigated by using an appropriate statistical ...
doi:10.1016/s0888-613x(98)10016-6
fatcat:7caga3qsrreofnct4uzgcoxmy4
Fuzzy logic in control systems: fuzzy logic controller. II
1990
IEEE Transactions on Systems, Man and Cybernetics
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In particular, the exposition includes a discussion of fuzzification and defuzzification strategies, the derivation of the database and fuzzy control rules, the definition of fuzzy implication, and an ...
During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes ...
Definition 5: Fuzzy Implication: The fuzzy implication is associated with five families of fuzzy implication functions in use. ...
doi:10.1109/21.52552
fatcat:556g3vy64jhxvp43oerwww6ati
The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
2006
Information Sciences
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The operation of the proposed system is presented through case studies, which demonstrate its application for classification and decision-making processes. ...
This thesis shows how fuzzy logic approach may contribute to a better representation and reasoning with imprecise concepts, which are inherent characteristics of geographic data stored and processed in ...
Design of Fuzzy Inference Engine Operations of fuzzy sets, linguistic variable definitions, fuzzy if-then rules and fuzzy inference compose main functionality of the Fuzzy Inference Engine. ...
doi:10.1016/j.ins.2005.02.006
fatcat:etgbpgq76rec3c4hru5hw6fwty
Fuzzy logic in control systems: fuzzy logic controller. I
1990
IEEE Transactions on Systems, Man and Cybernetics
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In particular, our exposition includes a discussion of fuzzification and denazification stra tegies, the derivation of the database and fuzzy control rules, the definition of fuzzy implication, and an ...
During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes ...
inferring fuzzy control actions employing fuzzy implication and the rules of inference in fuzzy logic. [4] The defuzzification interface performs the following functions: (a) a scale mapping, which converts ...
doi:10.1109/21.52551
fatcat:56hot4lt6zbzbbhkualwwceveq
Page 5173 of Mathematical Reviews Vol. , Issue 99h
[page]
1999
Mathematical Reviews
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[Prieto Espinosa, Alberto] (E-GRAN-AT; Granada) Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process. (English summary) Internat. J. ...
de- fuzzification method) involved in the definition of the implication function and in the rest of the inference process. ...
Multidimensional sensitivity study of the fuzzy risk assessment module in the life cycle of building objects
2018
Open Engineering
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The main purpose of this paper is to check the correctness of the operation of "the fuzzy risk assessment module in the life cycle of building objects". ...
variables, rules of fuzzy implication to the process of aggregation of premises and aggregation of result conclusions, as well as methods for defuzzification the resultant value. ...
The authors recommend that the risk evaluator, when using the fuzzy risk assessment module in the life cycle of building objects, apply either sets of basic or alternative membership functions I and II ...
doi:10.1515/eng-2018-0059
fatcat:2wiw3bps25c3pj4amkrpecvora
Page 4131 of Mathematical Reviews Vol. , Issue 92h
[page]
1992
Mathematical Reviews
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The definitions of membership functions of fuzzy sets used in the reasoning process may, however, adversely affect the reasoning results if the ‘insignif- icant’ parts of the membership functions are incompatible ...
It has been expected to provide a more powerful and useful inference capability in the process of fuzzy reasoning. ...
Fuzzy Logic Speech/Non-speech Discrimination for Noise Robust Speech Processing
[chapter]
2006
Lecture Notes in Computer Science
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The fuzzy system is based on a Sugeno inference engine with membership functions defined as combination of two Gaussian functions. ...
This paper shows a fuzzy logic speech/non-speech discrimination method for improving the performance of speech processing systems working in noise environments. ...
Acknowledgements This work has been funded by the European Commission (HIWIRE, IST No. 507943) and the Spanish MEC project TEC2004-03829/FEDER. ...
doi:10.1007/11758501_55
fatcat:kbwkem3kjncrnixzaibswrszlq
IMPROVING INTERNAL-VALUED INFERENCING WITH LIKELIHOD RATIO
2019
Malaysian Journal of Computer Science
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As an improvement, a measurement on the likelihood of an inference result in an acceptance/rejection band suggested. ...
This paper point out the limitations of Interval-Valued Inferencing as a defuzzification method for inference engines based on the Bandler-Kohout subproduct. ...
operator in harsh criterion, or arithmetic mean in mean criterion, A(x) and B(x) are membership functions of x in A and B respectively, and → denotes the fuzzy implication operator. ...
doi:10.22452/mjcs.vol32no3.3
fatcat:gecngox5xfelpczw3z2hbrmcti
A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks
2014
Journal of Software
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This paper proposes a situation analysis decision support system (SADSS) for safety of safety-critical systems where the operators are stressed by the task of understanding what is going on in the situation ...
process by aiding operators' cognitive activities. ...
Situation analysis processes are often distributed in nature and involve multiple operation operators that observe and react to events distributed in time and space, so the future direction of the research ...
doi:10.4304/jsw.9.8.2194-2199
fatcat:u2idkvffs5fpjmvuca7xvpbq5m
The fuzzy set theory approach to transportation problems
1993
Doboku Gakkai Ronbunshu
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It should be interesting to examine the implication of approximate numbers in the travel forecasting process using fuzzy arithmetic operations. ...
-Reasoning and inference for the decision is based on the approximate logic, in which the implication is ambiguous due to the vagueness of the meaning of words and the lack of precise knowledge. ...
doi:10.2208/jscej.1993.1
fatcat:2vdcoahytjbhdjbsmvssam2syq
HyFOM Reasoner: Hybrid Integration of Fuzzy Ontology and Mamdani Reasoning
english
2013
Proceedings of the 15th International Conference on Enterprise Information Systems
english
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In this context, the appropriate combination of fuzzy ontologies and Mamdani fuzzy inference systems can provide meaningful inferences involving fuzzy rules and numerical property values. ...
A real-world case study involving the domain of food safety is presented, including comparative results with a state-of-the-art fuzzy description logic reasoner. ...
Special thanks to the Embrapa Dairy Cattle and the Brazilian Ministry of Agriculture, Livestock and Supply for providing real-world data and domain expert support for the case study. ...
doi:10.5220/0004452803700378
dblp:conf/iceis/YaguinumaMSCR13
fatcat:yelpfdgpe5aqvjniya2qzoogoi
A MATHEMATICAL MODEL FOR WIRELINE LOGS FILTERING USING DIFFERENTIAL FUZZY PARAMETERS
2012
Revista Brasileira de Geofisica
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The objective of this study is to present a non-linear technique for noise attenuation in well logs using fuzzy sets and fuzzy logic. ...
After acquisition, the processing depends on the nature of the signal and its information. ...
ACKNOWLEDGMENTS We thank PETROBRAS, ANP and the Graduate Program in Geophysics at UFPA (CPGF) for supporting this work and providing data. ...
doi:10.22564/rbgf.v30i3.188
fatcat:godwcl5c5bdpteft2ca2qe2k4m
Regulation of water resources systems using fuzzy logic: a case study of Amaravathi dam
2018
Applied Water Science
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The main motive of this study is to demonstrate applicability of fuzzy inference system for regulating operations of water resource systems. ...
Regulation of a water resource system is one of the challenging tasks due to uncertainty involved in demand and supply. ...
The process of arriving at inference and learning of the structure for a basic "if-then" rule-based system involves the application of "implication connective" between different proportions defined for ...
doi:10.1007/s13201-018-0777-8
fatcat:2zp7nccrevcjhfznjjvjummuai
PROPOSING A NEW METHODOLOGY BASED ON FUZZY LOGIC FOR TUNNELLING RISK ASSESSMENT
2014
Journal of Civil Engineering and Management
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and decisions in order to reduce, mitigate and/or even eliminate the risks involved in the project. ...
In many situations, tunnelling projects find themselves involved in the situations where unexpected conditions threaten the continuity of the project. ...
The process of fuzzy inference involves fuzzification of crisp input by defining the membership function, fuzzy logic operators, and IF-THEN rules (Beriha et al. 2012) . ...
doi:10.3846/13923730.2013.843583
fatcat:aniq2et34zfghkubbfpclpioqq
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