We tried to clarify the applicability of "utility" for the evaluation of patient's QOL with gastric cancer after chemotherapy and attempted to compare differences in QOL after treatment with the oral antitumor agent TS-1 or with a conventional injectable combination. Three items, moving activity, pain, and gastrointestinal symptoms, were employed as indicators of patient QOL, and then the asses...

In this paper, we adopt supreme-utilities among fuzzy level (decision) vectors to propose a power allocation rule, its efficient extension and normalization in the framework of multicriteria fuzzy transferable-utility (TU) games. We also provide several axiomatic results to present the rationality for these rules. Based on different viewpoints, we introduce different formulations and dynamic re...

in this study, yield-water and profit function was used to obtain water demand function in agriculture sector. the results showed that the ratio of actual to potential evapotranspiration had positive, significant effecton the ratio of actual to potential yield for wheat and barley. also, square ratio of actual to potential evapotranspiration had negative, significant relationship. after estimat...

The utility company has many motivations for modifying energy consumption patterns of consumers such as revenue decoupling and demand response programs. We model the utility company–consumer interaction as a reverse Stackelberg game and present an iterative algorithm to design incentives for consumers while estimating their utility functions. Incentives are designed using the aggregated as well...

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...

Some examples of absurd uniformly minimum variance unbiased estimators are discussed. Two reasons, argued in the literature, for having such estimators are lack of enough information in the available data and property of unbiasedness. In this paper, accepting both of these views, we show that an appropriate choice of loss function using a general concept of unbiasedness leads to risk unb...

In this paper, a novel adaptive dynamic programming (ADP)-based event-triggered safe control method is proposed to solve the zero-sum game problem of nonlinear safety-critical systems with safety constraints and input saturation. First, barrier function-based system transformation, saturation transformed into an equivalent problem, so as guarantee that does not violate constraints. Furthermore,...

This paper discusses the estimation of time-dependent utility that is used for decision-theoretic planning in dynamic environments. A general approach to modeling the time-dependent utility is presented which is based on the decomposition of time-dependent utility into time-dependent state description (SEM: situation evolution model) and state-dependent utility description (PUM: plan utility mo...