This paper introduces a new web-based decision support tool called Smart-Swaps to support multicriteria decision analysis. The decision maker’s preferences are elicited with the even swaps method, which is an elimination process based on value trade-offs. The software provides a platform for carrying out the elimination process and implements a preference programming model to give suggestions t...

We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfish agents, which might misreport the labels in order to sway the decision in their favor. We design mechanisms (both deterministic and randomized) that reach an approximately optimal decision and are strategyproof, i.e...

A central decision maker allocates resources to each of n players who derive utility from their allocation. Consequently, her actions may be viewed as choosing an allocation of utilities u = (u1, u2, . . . , un) from some set of feasible allocations U ∈ R+. Consider a decision maker that chooses an allocation u ∈ U to maximize n

A shop-floor control system (SFCS) performs the decision-making and execution functions necessary to fill production orders efficiently. To cope with a variety of dynamic factors, the SFCS must be able to perform these functions in real time. This paper proposes a way to reduce the cost of developing the software that implements this realtime requirement. It describes a design and development f...

The Even Swap method, originally outlined by Benjamin Franklin 230 years ago, is a rational way of finding the best alternative by evenly swapping decision criteria. This study develops a Decision Ball model to assist a decision maker in ranking alternatives and visualizing decision process based on the Even Swap concept. By viewing the moving trajectories of alternatives on spheres, a decision...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

The paper considers a discrete stochastic multicriteria problem. This problem can be defined by a finite set of actions A, a set of attributes X and a set of evaluations E. It is assumed that the performance probability distributions for each action on each attribute are known. A new procedure for such a problem is proposed. It is based on two concepts: stochastic dominance and interactive appr...

Eliciting preferences of a decision maker is a key factor to successfully combine search and decision making in an interactive method. Therefore, the progressively integration and simulation of the decision maker is a main concern in an application. We contribute in this direction by proposing an interactive method based on a reference point-based guided local search to the bi-objective Invento...

In the model of choice, studied in this paper, the decision maker chooses the actions non-probabilistically in each period (Sarin and Vahid, 1999; Sarin, 2000). The action is chosen if it yields the biggest payoff according to the decision maker’s subjective assessment. Decision maker knows nothing about the process that generates the payoffs. If the decision maker remembers only recent payoffs...

Several interactive methods exist to identify nondominated solutions in a Multiple Objective Mixed Integer Linear Program. But what if the Decision Maker is also interested in sorting those solutions (assigning them to pre-established ordinal categories)? We propose an interactive ‘‘branch-and-bound like’’ technique to progressively build the nondominated set, combined with ELECTRE TRI method (...