Titlebook: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing; 11th International C Aijun An,Jerzy Stefanowski,Guoyin Wang Conference proceedi

爱得痛了

A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch engine result lists. To support our model we also explore a scheme for computing search engine weights. We call the weights obtained from our scheme Query-System Weights and we compare this with the scheme for computing search engine weights proposed by Aslam and Montague. We refer to Aslam’s scheme as System Weights.

不如屎壳郎

微不足道

Obliterate

degradation

headway

Vaguely Quantified Rough Setspproximations. In this paper, we revisit the hybridization process by introducing vague quantifiers like “some” or “most” into the definition of upper and lower approximation. The resulting vaguely quantified rough set (VQRS) model is closely related to Ziarko’s variable precision rough set (VPRS) model.

ostensible

A Fuzzy Group Decision Approach to Real Option Valuatione bias from particular evaluator’s personal preference and could help decision makers achieve a more reliable valuation of the target investment. The author provides numerical illustration on the procedures mentioned above and discusses the strengths and possible extensions of this hybrid approach to IT investment analysis.

Incisor

Evolution of Fuzzy System Models: An Overview and New Directionson performances of system models. A short introduction to soft computing methods is provided and new improvements in FSMs, namely, Improved Fuzzy Functions (IFF) approaches is reviewed. IFF techniques are an alternate representation and reasoning schema to Fuzzy Rule Base (FRB) approaches. Advantages of the new improvements are discussed.

珊瑚

Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measuretric distance and can determine the degree of correlation of the clusters. Finally, the proposed cluster validity index is tested and validated by using five sets of artificially generated data. The results show that the proposed cluster validity index is more efficient and realistic than the former traditional indices.

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