Fuzzy techniques -- techniques designed to convert imprecise human knowledge into precise computer-understandable terms -- have many successful applications. Traditional applications of fuzzy techniques use only important general features of human reasoning and, to make an implement more efficient, ignore subtle details, details which are not important for the corresponding application. But from the more fundamental viewpoint, it is desirable to understand, in all the detail, how people actually reason. In this paper, we use general ideas of fuzzy approach to answer this question. Interestingly -- and somewhat unexpectedly -- the resulting analysis leads to a natural explanation of existence of several distinct levels of certainty and to a ...
summary:A degree of probabilistic dependence is introduced in the classical logic using the Frank f...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
In the second part of the overview, reasoning with fuzzily defined quantifiers and applications are ...
Fuzzy techniques have been originally designed to describe imprecise ( fuzzy ) expert knowledge. Som...
Fuzzy methodology has been invented to describe imprecise ( fuzzy ) human statements about the world...
Fuzzy methodology transforms expert ideas -- formulated in terms of words from natural language -- i...
Abstract: Logic is a set of well-formed formulae, along with an inference relation. But the Classica...
AbstractQuantum processes provide a parallel model for fuzzy connectives. Calculations of quantum st...
One of the main methods for eliciting the values of the membership function μ(x) is to use the Liker...
Quantum computational logics provide a fertile common ground for a unified treatment of vagueness an...
Abstract. The problem of artificial precision demonstrates the inade-quacy of näıve fuzzy semantics...
Approximate Reasoning is the process Ill " processes by which a possible imprecise conclusion i...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool ...
Reasoning, the most important human brain operation, is characterized by a degree of fuzziness and u...
summary:A degree of probabilistic dependence is introduced in the classical logic using the Frank f...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
In the second part of the overview, reasoning with fuzzily defined quantifiers and applications are ...
Fuzzy techniques have been originally designed to describe imprecise ( fuzzy ) expert knowledge. Som...
Fuzzy methodology has been invented to describe imprecise ( fuzzy ) human statements about the world...
Fuzzy methodology transforms expert ideas -- formulated in terms of words from natural language -- i...
Abstract: Logic is a set of well-formed formulae, along with an inference relation. But the Classica...
AbstractQuantum processes provide a parallel model for fuzzy connectives. Calculations of quantum st...
One of the main methods for eliciting the values of the membership function μ(x) is to use the Liker...
Quantum computational logics provide a fertile common ground for a unified treatment of vagueness an...
Abstract. The problem of artificial precision demonstrates the inade-quacy of näıve fuzzy semantics...
Approximate Reasoning is the process Ill " processes by which a possible imprecise conclusion i...
Abstract. One of the main methods for eliciting the values of the membership function (x) is to use ...
Human interaction with the world is dominated by uncertainty. Probability theory is a valuable tool ...
Reasoning, the most important human brain operation, is characterized by a degree of fuzziness and u...
summary:A degree of probabilistic dependence is introduced in the classical logic using the Frank f...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
In the second part of the overview, reasoning with fuzzily defined quantifiers and applications are ...