The Determination of Rating Points of Objects with Qualitative Characteristics and their Usagein Decision Making Problems
The paper presents the method developed to assess
rating points of objects with qualitative indexes. The novelty of the
method lies in the fact that the authors use linguistic scales that allow
to formalize the values of the indexes with the help of fuzzy sets. As
a result it is possible to operate correctly with dissimilar indexes on
the unified basis and to get stable final results. The obtained rating
points are used in decision making based on fuzzy expert opinions.
[1] O.M. Poleshuk, E.G.Komarov, "Methods and models of fuzzy
information processing," M.: Energoatomizdat, 2007.
[2] Ryjov A., "Fuzzy sets theory elements and dimensions of fuzziness,"
M.: Dialogue-MSU, 1998.
[3] Ryjov A., "Description of Objects in Human-Machine Information
Systems," Application of Fuzzy Systems, Proceeding of the International
Conference on Application of Fuzzy Systems, ICAES - 94, Iran, 1994,
pp. 246-249.
[4] Zadeh L.A., "The Concept of a linguistic variable and its application to
approximate reasoning," Part 1, 2 and 3, Information Sciences, V. 8,
1975, pp.199-249, 301-357 and Information Sciences, V. 9, 1976, pp.
43-80.
[5] Dubois D., Prade H., "Fuzzy real algebra: some results," Fuzzy Sets and
Systems, V. 2, No 4, 1979, pp. 327-348.
[6] O.M. Poleshuk, V.G. Domrachev, "A regression model for fuzzy initial
data," Automation and Remote Control, V. 64, No 11, 2003, pp. 1715-
1724.
[1] O.M. Poleshuk, E.G.Komarov, "Methods and models of fuzzy
information processing," M.: Energoatomizdat, 2007.
[2] Ryjov A., "Fuzzy sets theory elements and dimensions of fuzziness,"
M.: Dialogue-MSU, 1998.
[3] Ryjov A., "Description of Objects in Human-Machine Information
Systems," Application of Fuzzy Systems, Proceeding of the International
Conference on Application of Fuzzy Systems, ICAES - 94, Iran, 1994,
pp. 246-249.
[4] Zadeh L.A., "The Concept of a linguistic variable and its application to
approximate reasoning," Part 1, 2 and 3, Information Sciences, V. 8,
1975, pp.199-249, 301-357 and Information Sciences, V. 9, 1976, pp.
43-80.
[5] Dubois D., Prade H., "Fuzzy real algebra: some results," Fuzzy Sets and
Systems, V. 2, No 4, 1979, pp. 327-348.
[6] O.M. Poleshuk, V.G. Domrachev, "A regression model for fuzzy initial
data," Automation and Remote Control, V. 64, No 11, 2003, pp. 1715-
1724.
@article{"International Journal of Information, Control and Computer Sciences:62346", author = "O. Poleshchuk and E. Komarov", title = "The Determination of Rating Points of Objects with Qualitative Characteristics and their Usagein Decision Making Problems", abstract = "The paper presents the method developed to assess
rating points of objects with qualitative indexes. The novelty of the
method lies in the fact that the authors use linguistic scales that allow
to formalize the values of the indexes with the help of fuzzy sets. As
a result it is possible to operate correctly with dissimilar indexes on
the unified basis and to get stable final results. The obtained rating
points are used in decision making based on fuzzy expert opinions.", keywords = "complete orthogonal semantic space, qualitativecharacteristic, rating points.", volume = "3", number = "4", pages = "1165-5", }