Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Ankur Sinha Name of the doctoral dissertation Progressively Interactive Evolutionary Multiobjective Optimization Publisher Aalto University School of Economics Unit Department of Business Technology Series Aalto University publication series DOCTORAL DISSERTATIONS 17/2011 Field of research Decision Making and Optimization Abst...

Abstract Balancing multiple competing and conflicting objectives is an essential task for any artificial intelligence tasked with satisfying human values or preferences. Conflict arises both from misalignment between individuals values, but also value systems held by a single human. Starting principle of loss-aversion, we designed set soft maximin function approaches to multi-objective decision...

Vendor selection decisions are complicated by the fact that various conflicting multi-objective factors must be considered in the decision making process. The problem of vendor selection becomes still more compli-cated with the inclusion of incremental discount pricing schedule. Such hard combinatorial problems when solved using meta heuristics produce near optimal solutions. This paper propose...

[naeini1] in this paper, a new method is proposed to find the fuzzy optimal solution of fuzzy multi-objective linear programming problems (fmolpp) with fuzzy right hand side and fuzzy decision variables. due to the imprecise nature of available resources, determination of a definitive solution to the model seems impossible. therefore, the proposed model is designed in order to make fuzzy decisi...

extended abstract 1. introduction high traffic volume is one of the most common problems of urban transportation in metropolises. the increase in the number of vehicles in case of not having necessary predictions also enhances the demand for fueling in places where mostly are unable to respond to such needs. site selection of public facilities is an instance of policies of local governments wit...