In real life scientific and engineering problems decision making is common practice. Decision making include single decision maker or group of decision makers. Decision maker’s expressions consists imprecise, inconsistent and indeterminate information. Also, the decision maker cannot select the best solution in unidirectional (single goal) way. Therefore, proposed model adopts decision makers’ ...

A fuzzy concept of solving the linear programming problem with interval coefficients is proposed. For each optimism level of the decision maker (where the optimism concerns the certainty that no errors have been committed in the estimation of the interval coefficients and the belief that optimistic realisations of the interval coefficients will occur) another interval solution of the problem wi...

In this paper, we focus on two-level nonlinear programming problems with no coordination between the decision maker at the upper level ( the leader) and the decision maker at the lower level (the follower), and propose a computational method through particle swarm optimization (PSO) for obtaining Stackelberg solutions to two-level nonlinear programming problems. Furthermore, we carry out numeri...

The paper proposes a two-phase methodology to support groups in multicriteria classification problems. The first phase, which relies on dominance-based rough set approach, takes as input a set of assignment examples, and generates as output a set of collective decision rules representing a generalized description of the preference information of the decision makers. The second phase then applie...

In this article CCPR, a multidimensional framework for comparative performance evaluation is proposed, which is elaborated and illustrated through a real-life case. A particular feature of the approach is that it takes account of and corrects for the influence of risks, which are beyond the control of the decision maker. Here risk is seen as a multidimensional measure; it is expressed by means ...

We study a dynamic model of information provision. A state of nature evolves according to a Markov chain. An informed advisor decides how much information to provide to an uninformed decision maker, so as to influence his short-term decisions. We deal with a stylized class of situations, in which the decision maker has a risky action and a safe action, and the payoff to the advisor only depends...

This paper formulates multiobjective linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. Assuming that the decision maker concerns about the probability that each of the objective function values is smaller than or equal to a certain target value, the fuzzy goals of the decision maker for the probabilities are introduced. Then, ...

We present a new interactive hybrid approach for solving multicriteria optimization problems where features of approximation methods and interactive approaches are incorporated. We produce rough approximations of the nondominated set and let the decision maker indicate with the help of reference points where to refine the approximation. In this way, (s)he iteratively directs the search towards ...

We introduce and analyze expected uncertain utility theory (EUU). A prior and an interval utility characterize an EUU decision maker. The decision maker uses her subjective prior to transform each uncertain prospect f into an interval-valued prospect f which assigns an interval [x, y] of prizes to each state. The decision maker ranks prospects according to their expected interval utilities E(u(...

We consider a multi-armed bandit setting that is inspired by real-world applications in e-commerce. In our setting, there are a few types of users, each with a specific response to the different arms. When a user enters the system, his type is unknown to the decision maker. The decision maker can either treat each user separately ignoring the previously observed users, or can attempt to take ad...