The combinations of objective weighting methods and MCDM methods were evaluated based on factors such as consistency in identifying the best material type, range, average value, and median of each set of Spearman's rank correlation coefficients. Two significant findings we...
A COMPARATIVE ANALYSIS OF OBJECTIVE WEIGHTING METHODS WITH INTUITIONISTIC FUZZY ENTROPY MEASURES. Ting-Yu Chen,Chia-Hang Li. Journal of the Chinese Institute of Industrial Engineers . 2009Chen Ting-Yu,Li Chia-Hang.A comparative analysis of objective weighting methods with intuitionistic fuzzy entropy ...
And then the thesis discusses the sameness between the subjective and objective weighting methods. 讨论了主观赋权法和客观赋权法的本质相同之处。 www.13191.com 2. Inner Mongolia; Talent Competition; index system; Standard deviation; objective weighting method; 内蒙古;人才竞争力;指标体系;标准差;客观赋...
The comparison of objective weighting methods suggests that, with the modified TOPSIS approach, the entropy measure compares favourably with other methods for the case study conducted. The performance evaluation and ranking of modern enterprises is a complex process, in which multiple financial ratios ...
It is worth noting that both weighting methods (i.e. for subjective and objective weights) have limitations. In order to comprehensively take into account the decision makers’ opinions and reduce subjectivity, the opinions of decision makers and the objective information should be comprehensively cons...
arbitrary kinds of music as ground truth data. We evaluated our algorithm by this method as well as on a data set of real recordings of solo piano music. The results showed that the feature weighting algori 一个新的方法为使能对任意种类的用途音乐作为地面实况数据audioto-音频对准线系统的客观...
Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be ...
Recently, resolving the problem of evaluation and ranking the potential suppliers has become as a key strategic factor for business firms. With the development of intelligent and automated information systems in the information era, the need for more efficient decision making methods is growing. The ...
Notable examples of a priori techniques encompass weighting methods, goal-oriented programming and lexicographic strategies18. A posteriori technique: these strategies draw from the results secured during the optimization phase. They strive to determine the Pareto optimal solutions post the completion of ...
As mentioned in Section 1, these methods employ a scalarizing function to aggregate all the objectives into a single scalar objective function. To obtain different Pareto optimal points, a set of weighting vectors can be used which would result in a set of single objective subproblems. This is ...