1. Introduction -- 2. Linear Programming -- 3. Multiobjective Programming -- 4. Nonlinear Programming -- 5. Integer Linear Programming -- 6. Network Models -- 7. Location Models -- 8. Project Networks -- 9. Machine Scheduling -- 10. Decision Analysis -- 11. Multiattribute Decision Making -- 12....

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

Roman Słowiński and His Research Program: Intelligent Decision Support Systems Between Operations Research and Artificial Intelligence -- Roman’s Scientific Trajectory: A Retrospective with an Emphasis on the Beginning -- ELECTRE Methods: A Survey on Roman Słowiński Contributions -- How...

What Is a Decision Problem? Designing Alternatives -- MCDA Approaches for Efficient Strategic Decision Making -- Collaborative Decision Making for Small Groups utilizing UTA Methods -- Disaggregation Approaches for Multicriteria Classification: An Overview -- Multiple Criteria Approaches for...

Background: Nowadays, variable domination structure is instrumental in studying multiobjective decision making problems. We investigate multiobjective location problems with respect to variable domination structure and its applications in supply chain management. Methods: We formulate practical...

Sequences of decisions that occur under uncertainty arise in a variety of settings, including transportation, communication networks, finance, defence, etc. The classic approach to find an optimal decision policy for a sequential decision problem is dynamic programming; however its usefulness is...

Fair Assignment of Debt Cases to Legal Debt Collection Centers -- On the Principle of Lagrange in Optimization Theory and Its Application in Transportation and Location Problems -- Measuring Foreign Trade-Logistics Efficiency: A DEA Approach and the Malmquist Index -- Partially Non-discretionary...