نتایج جستجو برای: Rule-Based Classification

تعداد نتایج: 3347529  

Journal: :iranian journal of fuzzy systems 2007
eghbal g. mansoori mansoor j. zolghadri seraj d. katebi

this paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. the classification performance andinterpretability are of major importance in these systems. in this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). ourapproach uses a punish...

Journal: :iranian journal of fuzzy systems 2014
mohammad reza moosavi mahsa fazaeli javan mohammad hadi sadreddini mansoor zolghadri jahromi

predicting different behaviors in computer networks is the subject of many data mining researches. providing a balanced intrusion detection system (ids) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

Journal: :journal of advances in computer research 0

fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...

Journal: :iranian journal of fuzzy systems 2008
eghbal g. mansoori mansoor j. zolghadri seraj d. katebi hassan mohabatkar reza boostani

this paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. these features are the occurrence probabilities of six exchange groups in the seque...

This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...

In classification problems, we often encounter datasets with different percentage of patterns (i.e. classes with a high pattern percentage and classes with a low pattern percentage). These problems are called “classification Problems with imbalanced data-sets”. Fuzzy rule based classification systems are the most popular fuzzy modeling systems used in pattern classification problems. Rule weights...

Journal: :سنجش از دور و gis ایران 0
محسن قلوبی دانشگاه خواجه نصیرالدین طوسی محمدجواد ولدان زوج دانشگاه خواجه نصیرالدین طوسی مهدی مختارزاده دانشگاه خواجه نصیرالدین طوسی

land cover information is one of the most important prerequisite in urban management system. in this way remote sensing, as the most economic technology, is mainly used to produce land cover maps. considering the complicated and dense urban areas in third world countries, object based approaches are suggested as an effective image processing technique. the purpose of this paper are the introduc...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز 1379

نتیجه اصلی این مبحث یک ارتباط فرموله شده بین یک سیستم مبتنی بر قاعده rule- based و یک شبکه عصبی می باشد. بنابراین یک تئوری دامنه می تواند به یک شبکه اعمال شده، در تمام مدت بطور تجربی تجدیدنظر شده، و نهایتا" به شکل نمادی کشف رمز شود. علاوه بر این ثابت شده است که شبکه عصبی در شرایط نویزی قواعد کاراتری را نسبت به روش درخت تصمیم گیری ایجاد می کند.

Journal: :IEEE Transactions on Fuzzy Systems 2022

Granularrules have been extensively used for classification in fuzzy datasets to promote the advancement of artificial intelligence. However, due diversity data types, how improve readability extracted granular rules while ensuring efficiency is always a challenge. Since reduct computing (GrC) can simplify real complex problem and dataset, this article carries out rule learning from perspective...

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