Fuzzy sets and the modelling of physician decision processes, part II: fuzzy diagnosis decision models

by: Augustine O Esogbue, Robert C Elder

Fuzzy Sets and Systems, Vol. 3, No. 1. (January 1980), pp. 1-9.

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摘要

Our concern is with the development of a more accurate mathematical model of physician diagnosis decision processes. Using the complete information net of matrices outputed from Part I, the various diagnoses processes--medical hypothesis, initial preliminary diagnoses, other preliminary diagnosis and final diagnoses, are modelled as fuzzy matrices. A general fuzzy decision model which could be particularized to each of the foregoing cases is then developed. Our general technique is based on fuzzy clustering theory with the criterion function being a modified form of the minimum Minkowski metric.

@article{citeulike:2730292, abstract = {Our concern is with the development of a more accurate mathematical model of physician diagnosis decision processes. Using the complete information net of matrices outputed from Part I, the various diagnoses processes--medical hypothesis, initial preliminary diagnoses, other preliminary diagnosis and final diagnoses, are modelled as fuzzy matrices. A general fuzzy decision model which could be particularized to each of the foregoing cases is then developed. Our general technique is based on fuzzy clustering theory with the criterion function being a modified form of the minimum Minkowski metric.}, author = {Esogbue, Augustine O. and Elder, Robert C. }, citeulike-article-id = {2730292}, doi = {http://dx.doi.org/10.1016/0165-0114(80)90002-0}, journal = {Fuzzy Sets and Systems}, keywords = {fuzzy, mdds}, month = {January}, number = {1}, pages = {1--9}, posted-at = {2008-04-28 16:29:17}, priority = {0}, title = {Fuzzy sets and the modelling of physician decision processes, part II: fuzzy diagnosis decision models}, url = {http://dx.doi.org/10.1016/0165-0114(80)90002-0}, volume = {3}, year = {1980} }

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TY - JOUR ID - citeulike:2730292 L3 - citeulike-article-id:2730292 N2 - Our concern is with the development of a more accurate mathematical model of physician diagnosis decision processes. Using the complete information net of matrices outputed from Part I, the various diagnoses processes--medical hypothesis, initial preliminary diagnoses, other preliminary diagnosis and final diagnoses, are modelled as fuzzy matrices. A general fuzzy decision model which could be particularized to each of the foregoing cases is then developed. Our general technique is based on fuzzy clustering theory with the criterion function being a modified form of the minimum Minkowski metric. IS - 1 JF - Fuzzy Sets and Systems EP - 9 TI - Fuzzy sets and the modelling of physician decision processes, part II: fuzzy diagnosis decision models VL - 3 SP - 1 KW - fuzzy KW - mdds AU - Esogbue, Augustine AU - Elder, Robert PY - 1980/01// UR - http://dx.doi.org/10.1016/0165-0114(80)90002-0 ER -

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