X is A - Wiki Index
... information= capability to compute with information described in a natural language= NL-capability. ...
... information= capability to compute with information described in a natural language= NL-capability. ...
Full-Text PDF
... Interpretability [1–3] and accuracy [4] are the two important features of a fuzzy system developed for a specific application. The term ‘interpretability’ describes the capability of a model that allows a human being to understand its behavior by inspecting its functioning or its rule base. On the o ...
... Interpretability [1–3] and accuracy [4] are the two important features of a fuzzy system developed for a specific application. The term ‘interpretability’ describes the capability of a model that allows a human being to understand its behavior by inspecting its functioning or its rule base. On the o ...
Curriculum vitaeWEB_Feb2015 - Técnico Lisboa
... Engineering Computations, Measurement. She has been a member of the following professional organizations: Institute of Electrical and Electronic Engineers (IEEE); IEEE Computational Intelligence Society; EUSFLAT (European Society for Fuzzy Logic and technology) society. Susana Vieira’s main research ...
... Engineering Computations, Measurement. She has been a member of the following professional organizations: Institute of Electrical and Electronic Engineers (IEEE); IEEE Computational Intelligence Society; EUSFLAT (European Society for Fuzzy Logic and technology) society. Susana Vieira’s main research ...
application of an expert system for assessment of the short time
... The program was based on formal logic and could generate an infinite number of possible operators. The amount of computer time and memory that GPS required to solve real-world problems led to the project being abandoned. In the sixties, AI researchers attempted to simulate the thinking process by in ...
... The program was based on formal logic and could generate an infinite number of possible operators. The amount of computer time and memory that GPS required to solve real-world problems led to the project being abandoned. In the sixties, AI researchers attempted to simulate the thinking process by in ...
Contributions to artificial intelligence: the IIIA perspective
... analysis, synthesis and transformation, in computational linguistics, artificial intelligence, etc. However, from the computational point of view, this is not an easy problem. It is well known that the problem of deciding if a given formula is a tautology in propositional logic gave rise to the firs ...
... analysis, synthesis and transformation, in computational linguistics, artificial intelligence, etc. However, from the computational point of view, this is not an easy problem. It is well known that the problem of deciding if a given formula is a tautology in propositional logic gave rise to the firs ...
Research and Development of Granular Neural Networks
... 2. Basic model of GrC The concept of information granularity was proposed by Zadeh in the paper “fuzzy sets and information granularity” [9] in 1979, which causes the widespread interest of researchers. Zadeh thinks there is the concept of information granularity in many areas, which just has differ ...
... 2. Basic model of GrC The concept of information granularity was proposed by Zadeh in the paper “fuzzy sets and information granularity” [9] in 1979, which causes the widespread interest of researchers. Zadeh thinks there is the concept of information granularity in many areas, which just has differ ...
74.419 Artificial Intelligence 2002 Description Logics
... individuals pre-arranged in sets = sorts many-valued logic more than two truth values (e.g. Lukasiewicz “intermediate truth” = I; "don't know" status) fuzzy logic degree of truth between 0 and 1 (predicate corresponds to fuzzy set; membership in set to a certain degree, not just yes or no) ...
... individuals pre-arranged in sets = sorts many-valued logic more than two truth values (e.g. Lukasiewicz “intermediate truth” = I; "don't know" status) fuzzy logic degree of truth between 0 and 1 (predicate corresponds to fuzzy set; membership in set to a certain degree, not just yes or no) ...
complete file
... propositional logic which uses propositional variables (true/false) and truth-functional propositional connectives, including conjunction, disjunction, negation, implication and logical equivalence. If axioms and rules of inference are provided, a sequence of inferential rules results in a proof. Ho ...
... propositional logic which uses propositional variables (true/false) and truth-functional propositional connectives, including conjunction, disjunction, negation, implication and logical equivalence. If axioms and rules of inference are provided, a sequence of inferential rules results in a proof. Ho ...
Hybrid intelligent systems in petroleum reservoir characterization
... (Mendel 2003; Van et al. 2011). The ‘‘no free lunch’’ theory (Wolpert and Macready 1997) also holds true as no single one of the CI techniques could be considered as being the best to solve all problems in all data and computing conditions. Since each of the techniques has its limitations and challe ...
... (Mendel 2003; Van et al. 2011). The ‘‘no free lunch’’ theory (Wolpert and Macready 1997) also holds true as no single one of the CI techniques could be considered as being the best to solve all problems in all data and computing conditions. Since each of the techniques has its limitations and challe ...
(2005). Integrating Language and Cognition
... the answer is in history and practice of science Newton laws do not contain all of the classical mechanics Maxwell equations do not exhaust radars and radio-communication a physical intuition about the system is needed an intuition about MFT was derived from biological, linguistic, cognitive, neuro- ...
... the answer is in history and practice of science Newton laws do not contain all of the classical mechanics Maxwell equations do not exhaust radars and radio-communication a physical intuition about the system is needed an intuition about MFT was derived from biological, linguistic, cognitive, neuro- ...
decsai.ugr.es - Soft Computing and Intelligent Information Systems
... shortcomings which make it a poor method to be applied by managers when trying to find valuable information to support their decisions on markets. Next, we make some commentaries with regard to their relevant weaknesses. SEM generally supposes linear relationships among the constituent elements of t ...
... shortcomings which make it a poor method to be applied by managers when trying to find valuable information to support their decisions on markets. Next, we make some commentaries with regard to their relevant weaknesses. SEM generally supposes linear relationships among the constituent elements of t ...
Fuzzy Algorithms for Pattern Recognition in Medical
... There has been increased interest in the development of fuzzy pattern recognition based medical imaging that contributes to solve the problems in early diagnosis and prognosis. In the context of medical imaging, uncertainties can be present at any point that can lead to serious inaccuracy with segme ...
... There has been increased interest in the development of fuzzy pattern recognition based medical imaging that contributes to solve the problems in early diagnosis and prognosis. In the context of medical imaging, uncertainties can be present at any point that can lead to serious inaccuracy with segme ...
A Comparison Model for Uncertain Information in
... [21]. If prior data is lacking, the knowledge engineer should consider other approaches in building an expert system. Another alternative approach in uncertainty management is the certainty-factor model, which is used in MYCIN [5]. MYCIN is an expert system used to assist medical practitioners in di ...
... [21]. If prior data is lacking, the knowledge engineer should consider other approaches in building an expert system. Another alternative approach in uncertainty management is the certainty-factor model, which is used in MYCIN [5]. MYCIN is an expert system used to assist medical practitioners in di ...
Towards a theory of Hybrid Intelligent Autonomous Systems
... truths, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. Fuzzy models can obviously be made to work very well indeed. The big advantage of a fuzzy model is that it is relatively simple to construct and is in itself a simple ...
... truths, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. Fuzzy models can obviously be made to work very well indeed. The big advantage of a fuzzy model is that it is relatively simple to construct and is in itself a simple ...
Expert system, fuzzy logic, and neural network applications in power
... in the paper are taken from the published literature. Hopefully, the readers will be able to formulate new applications from these examples. ...
... in the paper are taken from the published literature. Hopefully, the readers will be able to formulate new applications from these examples. ...
Resume - University of Houston
... utilities in terms of the learning factor are obtained. The estimators obtained from a martingale or a submartingale allowing the analysis of when and how the decision maker can terminate the feedback decision making loop. In [56] the study is generalized so that termination is analyzed although the ...
... utilities in terms of the learning factor are obtained. The estimators obtained from a martingale or a submartingale allowing the analysis of when and how the decision maker can terminate the feedback decision making loop. In [56] the study is generalized so that termination is analyzed although the ...
