Titlebook: Recent Developments and New Directions in Soft Computing; Lotfi A. Zadeh,Ali M. Abbasov,Marek Z. Reformat Book 2014 Springer International

Onerous

Knowledge Fusion in Context-Aware Decision Support: Ontology-Based Modeling and Patternsn a decision support system and (2)?discovery of context-based knowledge fusion patterns. An approach to ontology-based resource modeling is proposed. The set of resources comprises sources of data/information/knowledge, problem solving resources and various actors. The knowledge fusion patterns are

獨(dú)特性

Preference Function Reconstruction for Multiple Criteria Decision Making Based on Machine Learning Adered. The problem is reduced to integral indicator identification using available data of object’s performance indexes measurements as well as expert estimation of integral indicators values for each object and feature weights. Based on machine learning approach and expert estimations concordance t

promote

啪心兒跳動(dòng)

happiness

Spatiotemporal Human Brain Activities on Recalling Names of Body Parts IIe equivalent current dipole source localization (ECDL) method is applied to the event related potentials (ERPs): summed EEGs. ECDs are located in the ventral pathway. The areas are related to the integrated process of visual recognition of pictures and the retrieval of words. Some of these areas are

加強(qiáng)防衛(wèi)

不合

Improving the Accuracy of a Fuzzy-Based Single-Stroke Character Recognizer by Antecedent Weightingition method is able to reach higher accuracy in the character recognition without any significant effect on the computational complexity of the algorithm. Different fuzzy rule and antecedent weighting techniques were successfully used to improve the efficiency of fuzzy systems especially in classif

senile-dementia

軍火

Noise Technologies for Operating the System for Monitoring of the Beginning of Violation of Seismic are proposed for solving the problem of monitoring at early stages of violation of seismic stability with application of sets of informative attributes consisting of variance, correlation, static and dynamic noise characteristics. The results of computational experiments are given.

公司

Analytical Structure Characterization and Stability Analysis for a General Class of Mamdani Fuzzy Co as input and output fuzzy sets and fuzzy rules. We first characterize the mathematical input–output structure of fuzzy controllers and then utilize the structure characteristics to advance stability analysis. We study how the components of a general class of Mamdani fuzzy controllers dictate the co