Wojtek Michalowski

A Bi-Reference Procedure for Interactive Multiple Criteria Programming

The paper presents an interactive procedure to search the set of nondominated outcomes of a multiple criteria linear programming problem. The procedure requires the decision maker to specify the worst outcome. Then, the ideal outcome is identified, and the improvement direction from the worst to ideal outcomes is constructed. A trial solution is found by moving from a current solution along the improvement direction, while maximizing the step size. For a trial solution, the decision maker is requested to partition the set of objective functions into three categories: those to be improved, those which may remain unchanged, those which may be relaxed. Based on this partition, the procedure displaces the worst and ideal outcomes, calculates the new improvement direction, and the entire process is repeated. The method terminates when two successive trial solutions are reasonably similar.

Representing the negotiation process with a rule-based formalism

The objective of this paper is to introduce a flexible approach to the structuring of negotiations. The process of negotiations with its intricacies is discussed, and drawbacks of quantitative methods are analyzed. The decomposition of the negotiation process into a certain hierarchical structure is presented. This structure is represented with ‘and/or’ trees used for knowledge representation in artificial intelligence. The definitions of flexibility and reactions to the opponents moves are introduced with the help of a rule-based formalism. The implications of these definitions for the analysis of the negotiation process are presented. The approach is illustrated with a set of hypothetical examples.

Efficient solutions and bounds on tradeoffs

The modified Tchebycheff method, widely used to generate efficient solutions to a vector optimization problem, provides means to identify properly efficient solutions with a preimposed common bound on all tradeoffs. In this paper, we show how to generate weakly efficient solutions when different bounds are preimposed on the subsets of tradeoffs.

Searching for psychologically stable solutions of multiple criteria decision problems

In interactive decision making, a choice behavior of the decision maker may differ depending on proximity of a current solution to satisfactory values of objectives. An interactive approach proposed in this paper allows the decision maker to use different search principles depending on his/her perception of the achieved values of objectives and trade-offs. While an analysis of the values of objectives may guide the initial search for a final solution, it can be replaced by trade-off evaluations at some later stages. Such an approach allows the decision maker to change search principles, and to identify a psychologically stable solution to the multiple criteria decision problem.

Use Of Rough Sets Analysis To Classify Siberian Forest Ecosystems According To Net Primary Production Of Phytomass

Abstract This paper attempts to identify attributes that are considered essential for a development of sustainable forest management practices in the Siberian forests. This goal is accomplished through an analysis of net primary production of phytomass (NPP), which is used to classify the Siberian ecoregions into compact and cohesive NPP performance classes. Rough Sets (RS) analysis is used as a data mining methodology for the evaluation of the Siberian forest database. In order to interpret relationships between various forest characteristics, relationships known as interesting rules are generated on a basis of a reduced problem description.

Use of the displaced worst compromise in interactive multiobjective programming

The development and application of an interactive multiple-objective linear programming algorithm are considered. The displaced worst compromise is used as a reference point, to select the most preferred decision alternative. This point represents the undesired target values, which a decision-maker would prefer to avoid. To reflect the dynamics of a decisionmakers preferences, use is made of the concept of a displaced point which captures changes of reference during the decision process. An illustrative example is presented to show the process of reaching a final compromise decision. >

Disaster management with NEGOPLAN

Abstract This article presents a new decision support framework for a disaster management. This framework is established by NEGOPLAN which is a computer implementation of a rule-based model of sequential decisionmaking. The power and flexibility of NEGOPLAN are illustrated with a simple example. It is demonstrated how an emergency response system can be designed to test correctness of a disaster managers actions.

Triage of acute abdominal pain in childhood: clinical use of a palm handheld in a pediatric emergency department

The paper describes design and implementation of a mobile clinical triage support system for the evaluation of acute appendicitis in childhood. The MET (mobile emergency triage) system was developed according to the general principles of client server architecture, with mobile clients running on palm handhelds. Decision model implemented in MET follows the principles of evidence based medicine based on retrospective data. We applied a hybrid methodological approach involving fuzzy measures and rough set theory to develop this model. In a randomized retrospective trial, the triage recommendation of the MET system had a sensitivity of 86.7% and a specificity of 85.7%. MET is a fully functional mobile clinical triage support system that provides triage recommendation at the point of care, irrespective of the completeness of the clinical information. It also allows for data capture and interaction with the hospitals information system. Given mobility of MET and its easy to use features, we are proposing a system that can both support evidence based emergency room patient care, and at the same time, streamline the bedside triage of a child with abdominal pain.

Negotiation Modelling and Support: Expanding the DSS Paradigm

Negotiation is a sequential process involving two or more agents and a dynamic decision environment. Computer-based support for negotiation may be provided to all or selected parties involved in a process. The case of individual support is considered in this chapter which introduces the concepts of restructurable modelling of negotiation, describes the support tools, and discusses applicability of negotiation paradigm to support individual decision-making.

A Hybrid Interactive Technique For The MCDM Problems

An interactive technique proposed in this paper allows the decision maker to use different search principles depending on his/her perception of the achieved values of the objectives and trade-offs. While an analysis of values of the objectives may guide the initial search for a satisfactory Solution, it can be replaced by trade-off evaluations at some later stages of interactive decision making.