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MULTIDECISION  
Overview  
Multicriteria Decision Support Systems MultiDecision are designed to support decision makers in solving different multicriteria analysis and multicriteria optimization problems.
Multicriteria decision making problems can be divided into two separate classes depending on their formal statement.
In the second class of problems a finite number of alternatives are explicitly given in a tabular form. These problems are called discrete multicriteria decision making problems or multicriteria analysis problems.
In multicriteria analysis and multicriteria optimization problems several criteria are simultaneously optimized in the feasible set of alternatives.
In the general case there does not exist one alternative, which optimizes all the criteria. There is a set of alternatives however, characterized by the following: each improvement in the value of one criterion leads to deterioration in the value of at least one other criterion.
This set of alternatives is called a set of the nondominating or Pareto optimal alternatives. Each alternative in this set could be a solution of the multicriteria problem.
In order to select one alternative, it is necessary to have additional information set by the socalled decision maker (DM).
The information that the DM provides reflects his/her global preferences with respect to the quality of the alternative sought.


MKA2 subsystem  
Overview  
ÌÊÀ2 software systems is a successor of "MKA1" and "Multichoice" systems and it is designed to support the solution of three classes of multicriteria analysis:


Application  
Many real life problems in management practice can be formulated as multicriteria analysis problems. Such are the problems for evaluation and choice of resources, strategies, projects, offers, policies, credits, products, innovations, designs, expenses, profits, portfolios, etc. ÌÊÀ2 software system is a convenient and attractive tool for solving problems in these areas. 

Developers  
MKA2 software system is designed in Decision Support Systems department of the Institute of Information Technologies by the team: V. Vasilev – team leader, Ê. Genova, Ì. Vassileva, F. Andonov., G. Chepilev and P. Chongova. 

Gallery  
MKO2 subsystem  
Overview  
MÊO2 software system is a successor of MKO1 and MOLIP systems, designed for aiding the solution of linear and linear integer multicriteria optimization problems. On the basis of the generalized scalarizing problem, 12 known scalarizing problems of different types are generated in the system, as well as their corresponding interactive algorithms. These algorithms use different type of information about DM's preferences in the search for new solutions. The system is characterized by its user friendly interface, related to the entry of the input data, the setting at the beginning or at an arbitrary iteration of different type of information concerning DM's preferences, the selection of different interactive algorithms for the solution, the displaying in a digital or graphical form of the results obtained, as well as their archiving, the possibilities to interrupt the process during multicriteria problem solution or to restart it at any time in another direction, and others. 

Application  
Different problems of planning, control, analysis and management in economy, transport, industrial production, education, ecology and other areas may be reduced to decision making problems in the presence of many criteria. The problems, in which a finite number of explicitly set constraints in the form of functions define an infinite number of alternatives, are called continuous multicriteria decision making problems or multicriteria optimization problems. This class includes also linear and linear integer multicriteria decision making problems. 

Developers  
ÌÊÎ2 software system is designed in Decision Support Systems department of the Institute of Information Technologies by the team: V. Vassilev – team leader, B. Staykov, Ê. Genova, Ì. Vassileva and F. Andonov. 

Gallery  
Publications  


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