[PDF] Top 20 FUZZY HIERARCHICAL ANALYSIS AND APPLICATION

... the hierarchical analysis (HA) by using the fuzzy numbers for the pair wise ...of fuzzy eigen values and fuzzy eigen vectors (the fuzzy weight) from positive, reciprocal matrix ... See full document

... AHP is a method for ranking decision alternatives and selecting the best one when the decision maker has multiple criteria (Taylor, 2004). It answers the question, “Which one?” With AHP, the decision maker selects the ... See full document

... Cluster analysis was done by application of non- hierarchical clustering using co-variance matrix grouped the 50 inbred lines of maize into ten different clusters ... See full document

... Log analysis is an important part of network security management, but the existing network log analysis system can’t deal with huge amounts of log data, or only use offline mode which with a longer response ... See full document

... The application of both factor analysis and hierarchical cluster analysis to historical multi-element soil geochemi- cal data from the Koda Hill-Bulenga area in Wa-Lawra belt of Ghana showed ... See full document

... the fuzzy set that started in 1965, Zadeh connected a scientific strategy to specific the fuzzy situation in a genuine environment and after that fuzzy set approach was presented into building ... See full document

... In order to cope with outdoor environments, our frame- work aims at developing a novel Color-based Independent Component Analysis (CICA) model for motion detection in a color-image sequence. Initially, the ICA ... See full document

... the analysis on a number of 200 sales invoices of a seed store and 7 of its items are based on the predefined taxonomy from 7 items and the predefined membership function per each item, carries out the mining of ... See full document

... comprehensive analysis of the latest congestion control protocols in ...are application-specific in ...network, fuzzy logic and machine learning At the present, many such solutions exists but the ... See full document

... Abstract: Software development is one of the significant and necessary profession in the global scenarios. All the fields in the world like finance, transport, education, design, government and private sectors of the ... See full document

... This is accomplished by separating the total variability of the grey-fuzzy reasoning grades, which is measured by the sum of the squared deviations from the total mean of the grey-fuzzy reasoning grade, ... See full document

... of fuzzy sets. After that, fuzzy mathematics was developed as a new branch of mathematics ...[2,3,4]. Fuzzy clustering analysis, fuzzy pattern recognition, fuzzy comprehensive ... See full document

... comparison analysis we see two main results: (i) The fuzzy model is equally or more accurate and reliable than other obtained with neural network and machine learning approaches; (ii) The ... See full document

... above analysis, the fuzzy recursive least squares-probabilistic data association (FRLS-PDA) filter is proposed for single MTT in cluttered situations with unknown process ...the fuzzy system designed ... See full document

... the hierarchical relationships be- tween multiple decision makers but also their own prefer- ences for their membership functions can be reflected for the satisfactory ... See full document

... uses fuzzy logic and semantic analysis. The fuzzy logic helps to extract significant sentence and word features from the given document and decision module determines the degree of importance of each ... See full document

... Conjoint Analysis with Hierarchical Factor Analysis for Efficient Attribute Clustering: Previous HII is based on the idea that consumers process information in a hierarchical fashion if the ... See full document

... of Fuzzy Logic Systems (FLSs) is their interpretability [1], particularly in applications such as knowledge extraction and decision support [2], ...namely hierarchical fuzzy systems (HFSs) ... See full document

... the application of a fuzzy failure mode and effects analysis model for project-based software en- gineering ...the fuzzy rule-based system with learning ...a fuzzy rule-based system ... See full document

... of Fuzzy AHP in financial studies mainly occurred after 1990. Application of Multiple Criteria Decision Making (MCDM) in financial field is excellently documented along with the application of ... See full document