Adlassnig K.-P. Uniform representation of vagueness and imprecision in patient's medical findings using fuzzy sets, in: R. Trappl (ed.) Cybernetics and Systems'88, Kluwer Academic Publishers, 1988, 685-692.  Home/Search Document Not in Database Summary Related Articles Check |
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Diagnostic Monitoring of Clinical Time Series - Steimann (1995) (Correct)
....and high are frequently defined as fuzzy numbers modelling one s understanding of a measurement reading being low, normal or high. The degree of membership of a measurement x in each of the fuzzy numbers is then a measure of compatibility of x with the semantic concept the number represents [Adlassnig 88] Usually, the supports of such fuzzy numbers overlap so that x can be member of more than one fuzzy number. The expression , low, low (x) normal, normal (x) high, high (x) which is called a level 2 fuzzy set (a fuzzy set of fuzzy sets) Dubois 80] then comprises the compatibility ....
KP Adlassnig: "Uniform representation of vagueness and imprecision in patient's medical findings using fuzzy sets" in: Proc. EMCSR 88, Kluwer Academic Publishers, Dordrecht 1988, 685--692
A Combination Scheme of Artificial Intelligence and .. - Kuncheva, Zlatev.. (1993) (3 citations) (Correct)
....of possible ones. This value is also sufficient to prevent excluding of a certain diagnosis although the negative evidence is 0.99. Taking into account the fact that in the formulation of the frequency of occurrence and the degree of confirmation a great deal of subjective assessments are involved [9], a smooth transition appeared more appropriate. Applying the combination scheme (iii) to this problem may lead to simultaneous accounting for positive and negative strengths on the one hand, and to alleviation of the sharp transition, on the other. 6 An Example from Aviation Medicine An example ....
Adlassnig K.-P. Uniform representation of vagueness and imprecision in patient's medical findings using fuzzy sets, in: R. Trappl (ed.) Cybernetics and Systems'88, Kluwer Academic Publishers, 1988, 685-692.
A Fuzzy Medical Data Model - Steimann, Adlassnig (1994) Self-citation (Adlassnig) (Correct)
....actual value is trusted to stem. As opposed to other models of uncertainty employing intervals, in FUZZYBASE the boundaries of a range can be blurred rather than sharp to model a continuous transition from possible to impossible values. Ranges of this kind are ideally modelled through fuzzy sets [1, 2]. To express that an unknown value x is known to be within a given range R represented by a fuzzy set, we write x:R. 2 x no longer stands for values of the universe, but it is restricted to members of R, i.e. holds. R (x) 0 Extending (1) with fuzzily restricted time and value then yields ....
Adlassnig, K.-P., "Uniform Representation of Vagueness and Imprecision in Patients Medical Findings Using Fuzzy Sets", in Proc. EMCSR 88, Kluwer Academic Publishers, Dordrecht (1988) 685--692
A Combination Scheme of Artificial Intelligence and - Fuzzy Pattern Recognition (1993) (Correct)
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Adlassnig K.-P. Uniform representation of vagueness and imprecision in patient's medical findings using fuzzy sets, in: R. Trappl (ed.) Cybernetics and Systems'88, Kluwer Academic Publishers, 1988, 685-692.
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