作者: Purvag Patel , Elham S. Khorasani , Shahram Rahimi
DOI: 10.1007/S00500-015-1591-Y
关键词:
摘要: Computing with words provides symbolic and semantic methodology to deal imprecise information associated natural languages. It encapsulates various fuzzy logic techniques developed in past decades formalizes them. Z-number is an emerging paradigm that has been utilized computing among others. The concept of a intended provide basis for computation numbers, specifically reliability information. Z-numbers are confluence between the two most prominent approaches uncertainty, probability possibility, allow computations on complex statements. Certain related ambiguous complicated leading its slow adaptation into areas such as words. biggest contributing factor complexity usage distributions computations. This paper seeks applied model based certain realistic assumptions regarding distributions. Algorithms presented implement this integrate it expert system shell called CWShell. CWShell software tool abstracts underlying required words, convenient way represent compute unstructured language using specialized Generalized constraint (GCL). introduces new constructs GCL detailed inference mechanism strategy those constructs. We present case studies demonstrate working feasibility approach.