A decision maker is engaged in a repeated interaction with Nature. The objective of the decision maker is to guarantee to himself the average payo¤ as large as the best-reply payo¤ to Nature’s empirical distribution of play, no matter what Nature does. The decision maker with perfect recall can achieve this objective by a simple better-reply strategy. In this paper we demonstrate that the relat...

We focus on multiobjective nonlinear integer programming problems with block-angular structures which are often seen as a mathematical model of large-scale discrete systems optimization. By considering the vague nature of the decision maker’s judgments, fuzzy goals of the decision maker are introduced, and the problem is interpreted as maximizing an overall degree of satisfaction with the multi...

Linear bilevel programming is a decision making problem with a two-level decentralized organization. The leader is in the upper level and the follower, in the lower level. This study addresses linear bilevel multi-objective multi-follower programming (LB-MOMFP) problem, a special case of linear bilevel programming problems with one leader and multiple followers where each decision maker has sev...

Decision support systems with a knowledge base containing specijic past decision situations regarding an organisation may be referred to as organisational memory systems. A record of these past decisions is assumed to be beneficial to decision-makers and their organisation. Building such systems involves collecting past decision situations porn a decision-maker. This is analogous to knowledge a...

Decision support is not a cure-all or a panacea. Researchers and managers often focus too much on the anticipated positive consequences of using a specific Decision Support System (DSS). Using a computerized system to support decision making can have anticipated and unanticipated negative consequences. This essay is a starting point in assessing unintended negative consequences. There are many ...

Scheduling problems overall assume that it is possible to identify stable criteria definitions measuring the quality of alternatives. In real world problems however, this does not necessarily have to be the case. Situations may change over time or even within the decision making process, and so may criteria and preferences of the decision maker. The paper presents an interactive multicriteria g...

In the literature of dynamic models under uncertainty, it is commonly assumed that uncertainty is resolved gradually over time and its resolution is independent of the actions taken by a decision maker up to that time period. However, contingencies in the decision maker’s mind may change and even increase over time according to habits that have evolved by experiences, actions, or consumptions i...

This paper examines the role of managerial judgment in forming a final forecast, or judging the achievability of a critical level of sales, when multiple forecasts or opinions are available to the decision maker. Several factors that can help improve the quality of human intervention are identified and incorporated in a decision ard. Experimental results show that aided combination can help the...

We study sequential decision problems where the decision maker does not observe the states of nature, but rather receives a noisy signal, whose distribution depends on the current state and on the action that she plays. We do not assume that the decision maker considers the worst-case scenario, but rather has a response correspondence, which maps distributions over signals to subjective best re...

Abstract Nowadays among many evaluation methods, data envelopment analysis has widely used to evaluate the relative performance of a set of Decision Making Units (DMUs). Data Envelopment Analysis (DEA(is a mathematical tool for evaluating the relative efficiency of a set Decision Making Units (DMUs), with multiple inputs and outputs. Traditional DEA models treat with each DMU as a “black box" t...