2001
DOI: 10.1016/s0165-0114(98)00235-8
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An application of intuitionistic fuzzy sets in medical diagnosis

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Cited by 835 publications
(389 citation statements)
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“…The result is in agreement with [18],Let us observe another example Let us consider the following pattern recognition problem as discussed in [19]. given five known patterns, which corresponds to five decision alternatives d 1 That is, we will find which one of the five decisions is mostly close to the unknown sample r. It means that the decision alternative d 5 is the optimal alternative which is the closest alterative to positive ideal solution.…”
Section: Preliminariessupporting
confidence: 67%
“…The result is in agreement with [18],Let us observe another example Let us consider the following pattern recognition problem as discussed in [19]. given five known patterns, which corresponds to five decision alternatives d 1 That is, we will find which one of the five decisions is mostly close to the unknown sample r. It means that the decision alternative d 5 is the optimal alternative which is the closest alterative to positive ideal solution.…”
Section: Preliminariessupporting
confidence: 67%
“…The proposed method of diagnosis involves intuitionistic fuzzy distances as introduced in (Szmidt and Kacprzyk [7,8]). Advantages of such an approach are pointed out in comparison with the method presented in (De, Biswas and Roy [4]) in which the max-min-max composition rule was applied.…”
Section: If Pressure Is High Then Volume Is Lowmentioning
confidence: 99%
“…In Section 2 we briefly overview intuitionistic fuzzy sets. Section 3 presents De, Biswas and Roy's [4] approach for medical diagnosis via intuitionistic fuzzy relations, or -to be more precise -via the max-min-max composition. In Section 4 we propose a new approach for solving the same problem -we also use intuitionistic fuzzy sets but the final diagnosis is pointed out by the smallest distance between symptoms characteristic for a patient and symptoms decsribing considered illnesses.…”
Section: If Pressure Is High Then Volume Is Lowmentioning
confidence: 99%
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