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Application of multicriteria system MKA-2 for multicriteria choice of the most preferred insurance "Motor Third Party Liability (MTPL)" Elica Vandeva and Mariana Vassileva IIT-BAS. M ulticriteria analysis problems
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Application of multicriteria system MKA-2 for multicriteria choice of the most preferred insurance "Motor Third Party Liability (MTPL)" Elica Vandeva and Mariana Vassileva IIT-BAS
Multicriteria analysis problems Multicriteria analysis problem may be described by a decision matrix A(nxk), which can be defined intwo ways, where: Ai denotes an alternative with an index i, i=1,…,n; Kj denotes a criterion with an index j, j=1,…,k..
Main groups of multicriteria analysis problems 1) The discrete multicriteria choice problems, 2) The ranking problems, 3) The sorting problems.
Methods of multicriteria analysis 1. AHP method (Saaty) – weighting method. 2. PROMETHEE II method(Brans and Mareschal) – outranking methods. 3. CBIM method (N a r u l a et al.) – interactive method.
Operation with multicriteria system MKA-2 Choose the best of MTPL insurance. Consider acar with engine capacity1581 cubic centimetres, region of use is Sofia and 30 years of driving. The criteria to be evaluated are: 1. Cost of MTPLinsurance; 2. Cost of First installment; 3. Cost of Next installments; 4. Totalcost of Payment 5. Bonus in Casco in the same insurance company. Thealternatives are as follows: 1.Bulgarian Property; 2.Victoria Insurance; 3. Bul Ins.
Criterion type: Cost of MTPL insurance – quantitative criterion, Cost ot First installment – quantitative criterion.
Criterion type: Cost of Next installments –arranging criterion. Total cost of Payment – qualitative criterion.
Criterion type: Bonus in Casco – weight criterion.
ACKNOWLEDGEMENT This work was supported by the European Social Fund and the Bulgarian Ministry of Education and Science under the Operation programme “Human Resources Development”, Grant scheme BG051PO001/07/3.3-02 „Support for the Development of PhD Students, Post-doctoral Students, Post-graduate Students and Young Scientists”, Grand# BG051PO001/07/3.3-02/7.