In recent years, multiobjective problems with many objectives, i.e., more than three, have gained interest. Since the consideration of many objectives cause obvious problems in terms of visualization, decision making and computational cost, the question arises whether objectives can be omitted to avoid or at least diminish the mentioned problems. To answer the question how an objective reductio...

The problemof selection and the best option are themain subject of operation research science in decision-making theory. Selection is a process that scrutinizes and investigates several quantitative and qualitative, and most often incompatible, factors. One of the most fundamental management issues in multicriteria selection literature is the multicriteria adoption of the projects portfolio. In...

A novel environment for optimization, analytics and decision support in general engineering design problems is introduced. The utilized methodology is based on reactive search optimization (RSO) procedure and its recently implemented visualization software packages. The new set of powerful integrated data mining, modeling, visualiztion and learning tools via a handy procedure stretches beyond a...

purpose – the aim of this study is to examine relation between employees’ participation in the organizations decisions making and their psychological empowerment in iran telecommunication company subsidiary of mazanderan province. design / methodology /approach- 250 employees from the iran telecommunication company subsidiary of mazanderan province participated in this study. a spearman's cor...

decision making process requires information. accounting is the most important source of information. in 1998, the international federation of accountants issued a statement about the scope and using of accounting. it identified 4 stages for using accounting information: cost determination, planning and financial control, reduction of resources waste and creation the value. this study was desig...

here‎, ‎we aim to develop a new algorithm for solving a multiobjective linear programming problem‎. ‎the algorithm is to obtain a solution which approximately meets the decision maker's preferences‎. ‎it is proved that the proposed algorithm always converges to a weak efficient solution and at times converges to an efficient solution‎. ‎numerical examples and a simulation study are used to...

The multiobjective shortest path problem arises in many transportation and logistics applications, either as a stand-alone network routing problem or a subroutine of a more complex multiobjective network optimization problem. It has been addressed by different solution strategies, including labeling methods, ranking methods, constraint methods, and parametric methods. Increasing attention has b...