Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The...
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory proces...
The variety of new banking products, developed to accomodate the increased customer needs, provides a clear indication of the changes that the banking industry has undergone during the last two decades. Due to this there is a need of advanced quantitative analysis for risk management, information technology, quality management, etc. The implementation of these approaches in banking management is in accordance with the finding that empirical procedures are no longer adequate to address with increasing complexity of the banking industry. All the above issues are included in the edited volume,...
The variety of new banking products, developed to accomodate the increased customer needs, provides a clear indication of the changes that the banking...
How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this text provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory.
How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this text provides a self-contained, comprehensive ...
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The...
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory proces...
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics...
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each ev...
How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this stimulating and useful book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory.
How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this stimulating and useful book provides a self-co...
