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書目名稱Granular Computing and Decision-Making影響因子(影響力)




書目名稱Granular Computing and Decision-Making影響因子(影響力)學科排名




書目名稱Granular Computing and Decision-Making網絡公開度




書目名稱Granular Computing and Decision-Making網絡公開度學科排名




書目名稱Granular Computing and Decision-Making被引頻次




書目名稱Granular Computing and Decision-Making被引頻次學科排名




書目名稱Granular Computing and Decision-Making年度引用




書目名稱Granular Computing and Decision-Making年度引用學科排名




書目名稱Granular Computing and Decision-Making讀者反饋




書目名稱Granular Computing and Decision-Making讀者反饋學科排名

PACT

法律的瑕疵

Anmerkungen Zu Speziellen Problemen,fferent disciplines, including psychology, cognitive science, complex science, and behavioral and experimental economics. Milestones along this road will be reviewed and discussed, such as Barry Schwartz’s paradox of choice, George Miller’s magic number seven, Gerd Gingerenzer’s fast and frugal heur

constellation

RODE

預防注射

Using Thermodynamic Diagrams in Meteorologyuating various conflicting criteria. However, most multi-criteria decision making techniques utilizing a group of DMs (MCGDM) do not effectively deal with the large number of possibilities inherent in a domain with a variety of possibilities, different judgments, and ideas on opinions. In recent yea

預防注射

Use and Distribution of Natural Gasc, sequential approach and multi-criteria evaluation. Instead of classical Bayesian networks using conditional probability tables that are often difficult or impossible to obtain, a verbal expression of probabilistic uncertainty, represented by fuzzy sets is used in this approach. Influence diagrams

SCORE

ostrish

Anna M. Crumbley,Ramon Gonzalezstment algorithms were given.Secondly, according to the consistency problem of the fuzzy complementary judgment matrix, the definition of the scale transition matrix of the fuzzy complementary judgment matrix was given, then one method of additive consistency recursive iterative adjustment algorithm

Fibrin

Graham J. Hutchings,Michael S. Scurrellp decision making by using ensemble learning approach. This kind of expert system is referred to as ensemble rule based classification system by means of a system of systems. In machine learning, an ensemble learning approach is usually adopted in order to improve overall predictive accuracy, which