the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Abstract Research on mathematical problem solving has a long tradition: retracing its fascinating story sheds light intricacies and, therefore, needs. When we analyze this impressive literature, critical issue emerges clearly, namely, the presence of words and expressions having many sometimes opposite meanings. Significant examples are terms ‘realistic’ ‘modeling’ associated with word problems...

Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can dete...

due to project evaluation complexity and resource constraints, the project portfolio optimization is numerous decision making challenges. hence, many researches have been done to introduce model and methods for portfolio optimization. but most of them have not considered the interaction between projects. considering the interactions between projects increase complexity of portfolio optimization...

Follicular lymphoma (FL) is one the most frequent subtypes of lymphoma worldwide and its incidence is rapidly increasing in western countries. The vast majority of patients with follicular lymphoma present with advanced stage disease (Ann Arbor stage III or IV) at initial diagnosis, which is considered incurable by conventional therapeutic approaches. Until recently, decades of intense clinical...

Huachun Xiong, Jinxing Xie, Xiaoxue Deng Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China Abstract Traditional literature studying overbooking problems focuses on risk-neutral decision makers. In this paper, we propose a multi-period overbooking model incorporating risk-aversion and extend well-known structural results (the 3-region policy) under the risk-neutral ...