دانلود مقاله ISI انگلیسی شماره 25744
عنوان فارسی مقاله

تجزیه و تحلیل حساسیت تستورهای معمولی فازی گلدمن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
25744 2004 17 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Sensitivity analysis of fuzzy Goldman typical testors
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Fuzzy Sets and Systems, Volume 141, Issue 2, 16 January 2004, Pages 241–257

کلمات کلیدی
تشخیص الگو - مشکلات ترکیبی - فازی گلدمن معمولی - از ویژگی های مربوط - رویکرد منطقی ترکیبی
پیش نمایش مقاله
پیش نمایش مقاله تجزیه و تحلیل حساسیت تستورهای معمولی فازی گلدمن

چکیده انگلیسی

In the framework of supervised classification problems, the estimation of feature relevance and the search of all discriminating sub-descriptions of objects have great practical significance. Solving this problem in real situations is not always an easy task, because of the computational cost. The problems due to the size of matrix representation of objects, the computational complexity of algorithms, the non-standard object descriptions like mixed incomplete, which appear very frequently in Soft Sciences, and also the presence of fuzzy characteristics in the class descriptions or in the similarity measure used in the modeling of the problem in question have a big influence on the computational cost. Here, real valued similarity measures between feature values will be considered. Fuzzy Goldman typical testors are useful for estimating feature relevance and for searching all discriminate sub-descriptions of objects, but the computational complexity of algorithms to compute all Fuzzy Goldman typical testors is too high. Modifications of the training matrix very frequently appear in real world problems. Any modification to the training matrix can change the set of all Fuzzy Goldman typical testors, so this set must be computed again after each modification. This paper analyzes one of the sensitivity problems in Pattern Recognition: how does the set of all Fuzzy Goldman typical testors change after modifications of the training matrix. Four theorems about the behavior of the set of all Fuzzy Goldman typical testors are proposed and proved. An alternative method for calculating all Fuzzy Goldman typical testors of the modified matrix, more efficient than any traditional testor finding algorithm, is proposed. The new method's complexity is analyzed and some experimental results are shown.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.