[PDF] Top 20 1. Comparison between amgrp with fuzzy amgrp

... With inspiration from [1], of this study and research work had presented a novel routing approach. The present work is developed to overcome the flaws of traditional work. This protocol [1] basically works ... See full document

... applying fuzzy logic into the process of decision making regarding the selection of executive ...[11]. Fuzzy approach for risk evaluating and forecasting in accidents caused by working with vehicles such as ... See full document

... 5.12 T-Test result for Type-1 and Type-2 (FOU range 0.01) 61 5.13 T-Test result for Type-1 and Type-2 (FOU range 0.02) 62 5.14 T-Test result for Type-1 and Type-2 (FOU range 0.03) 63 5.15 T-Test ... See full document

... R fuzzy numbers payoff is introduced. Using the fuzzy number comparison introduced by Rouben's method (1991), the fuzzy payoff is converted into the corresponding deterministic ... See full document

... pairwise comparison ratios into a ratio ...pairwise comparison ratios for each attribute in each level of the ...these comparison ratios and its principal eigenvector gives the relative weights of ... See full document

... a fuzzy AHP (FAHP) [9,10]. Triangular fuzzy numbers would be directly substituted into the pair-wise comparison matrix to prevent the measure in the treatment guidelines, to determine the course of ... See full document

... Figure 1 shows the membership functions before the adjustment process by genetic algorithms (fine line) and after adjustment (darker ...Table 1, so that its values can be found in the ... See full document

... Fuzzy logic has been proven useful in computation involving perception and cognition, which is, uncertain, imprecise, vague, partially true, or without sharp boundaries. It enables the inclusion of vague human ... See full document

... and Fuzzy Logic Controller through MATLAB ...a comparison between their results after tuning and choose the best controller in order to control this ... See full document

... Clinical decision-making, diagnosis, and treatment are complicated issues and in some cases, even experts fail to have an agreement in this regard. Thus, intelligent systems could be in account as a great help for ... See full document

... for fuzzy multiple-criteria group decision-making by introducing a new operator to determine the ideal solution point in the Fuzzy TOPSIS ...valued fuzzy numbers. Boran [14] introduced an ... See full document

... distances between fuzzy numbers are very much ...distance between fuzzy sets and as well as fuzzy numbers have gained more attention from researchers ...measure between normal ... See full document

... o+1 1 1) T , which is the best case (bc) for the sampling ...+ 1)) T , being some sort of worst case (wc) parametrization regard- ing the ... See full document

... The fuzzy decision model in which overall ranking (or) ordering of different fuzzy sets are determined by using comparison ...are fuzzy or vague, we may have a situation where there is a ... See full document

... estimates between genotypic values and coincidence rate were carried out with R software (R Development Core Team, ...relationships between the clones selected by the different selection strategies, a ... See full document

... The fuzzy set theory was introduced by Zadeh in 1965 in his paper ‘Fuzzy Sets’ ...in Fuzzy set theory, these functions are replaced by membership functions ...the fuzzy set gives the ... See full document

... subsurface reflectors for a given velocity model. In migration calculation, the source data are forward propagated to form forward signal, and receiver data are back-propagated in time to generate reflection wavefield. ... See full document

... “As the dictionaries tell us, and as every educated person knows, ‘education’ involves something more than mere knowledge, training or skill. The ‘something more’ is hard to describe and harder still to evaluate. This is ... See full document

... nth-order fuzzy Kolmogorovs differential equations, by using a fuzzy Markov model of a repairable industrial ...the fuzzy reliability of the system both in transient and steady state, using ... See full document

... the Fuzzy prototype system does support the hypothesis that it would perform better than the Sobel, Canny, Prewitt, Roberts, LoG and CVF ...the Fuzzy prototype system successfully solves more edge images ... See full document