The notion of uncertainty in expert systems is dealing with vague data, incomplete information, and imprecise knowledge. Different uncertainty types which are imprecision, vagueness, ambiguity, and inconsistence need different handling models. Uncertain knowledge representation and analysis is an essential issue
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Fact...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncerta...
Expert systems are well known area of artificial intelligence and have a huge impact in various fiel...
Abstract — The aim of artificial intelligence is to develop tools for representing piece of knowledg...
Much of the research done in Artificial Intelligence involves investigating and developing methods o...
International audienceThis article investigates different tools for knowledge representation and mod...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
This paper shows models of data description that incorporate uncertainty like models of data extensi...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
This paper shows models of data description that incorporate uncertainty like models of data extensi...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Fact...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
Uncertainty in expert systems is essential research point in artificial intelligence domain. Uncerta...
Expert systems are well known area of artificial intelligence and have a huge impact in various fiel...
Abstract — The aim of artificial intelligence is to develop tools for representing piece of knowledg...
Much of the research done in Artificial Intelligence involves investigating and developing methods o...
International audienceThis article investigates different tools for knowledge representation and mod...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
AbstractThis paper addresses the problem of modeling of expert knowledge as a starting point for inf...
This paper shows models of data description that incorporate uncertainty like models of data extensi...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
This paper shows models of data description that incorporate uncertainty like models of data extensi...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
The current paradigm of modelling uncertainty in expert systems knowledge bases using Certainty Fact...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
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