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Investment project quality comparison

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays the decision-making seems as a very advanced science with fully developed mathematical tools. Unfortunately, just this circumstance "very complicated mathematical tools" is the main obstacle on the way of penetration modern scientific methods in decisionmaking practice. The aim of this article is to present on the base enough simple example the practical possibilities of a theory in a manner that perhaps seems as not very traditional, but seems more transparent and easy for persons that having need to under-take some multiobjective decisions. The main problems in formalization of decision-making process are: - existence of quantitative parameters that tan be measured by the some ways (for exam-ple, financial parameters) and qualitative parameters represented on the only verbal level (by the words). The qualitative parameters often play main role in process of decision-making; - different scales of measurements - it is known that particle criterion may refer to the dif-ferent spheres and often may be measured in incomparable units; - multiobjectivity - existence of many criteria, variables and so on, which have influence on process of decision. It is known that possibilities of a person to undertake the reasonable decisions on base of many criterions are very limited; - non-equivalence - problem of weighing (ranking) of particle criteria; - multilevel - this problem appear when each new level is based on group of parameters of lower level. The problems described above are solved by means of enough exact and of modern mathematical methods and illustrated by the concrete task of choosing the best investment project.
Rocznik
Strony
35--44
Opis fizyczny
Bibliogr. 16 poz., 6 rys.
Twórcy
autor
  • Institute of Mathematics and Computer Science, Technical University of Częstochowa ul. Dąbrowskiego 73, 42.200 Częstochowa
  • Institute of Mathematics and Computer Science, Technical University of Częstochowa ul. Dąbrowskiego 73, 42.200 Częstochowa
autor
  • Institute of Mathematics and Computer Science, Technical University of Częstochowa ul. Dąbrowskiego 73, 42.200 Częstochowa
autor
  • State University, Grodno (Belarus)
Bibliografia
  • [1] Sevastianov P., Sevastianov D., Risk and capital budgeting parameters evaluation from the Fuzzy sets theory position, Reliable Software 1997, l, 10-19 (in Russian).
  • [2] Sevastianov P., Sevastianov D., Extraction of maximum, Risk 1998, 5-6, 71-75 (in Russian).
  • [3] Dimova L., Sevastianov D., Sevastianov P., Application of fuzzy sets theory, methods for the evaluation of investment efficiency parameters, Fuzzy Economic Review 2000, V, 1, 34-48.
  • [4] Nehorosheva L., Problems of innovative structure forming, Proc. the International Conf. Innovative centers of Belarus: Common Approaches, Current Situation and Development Perspectives, Mogilev 1995, 200-216 (in Russian).
  • [5] Miller G.A., The magical numbers even, plus or minus two: some limits on our capacity for processing information, Engineering Psychology, Progress, Moscow 1964, 192-225.
  • [6] Zadeh L.A., Fuzzy sets, Inf. Contr. 1965, 8, 338-358.
  • [7] Orlovsky S.A., Problems of decision making under fuzzy source information, Science, Moscow 1981, 208 (in Russian).
  • [8] Saaty T.A., Scaling method for priorities in hierarchical structures, J. of Mathematical Psychology 1977, 15, 3, 234-281.
  • [9] Borisov A.N., Korneeva G.V., Linguistic approach to decision making model building under uncertainty, Methods of Decision Making under Uncertainity 1980, 7, 4-6.
  • [10] Zollo G., Iandoli L., Cannavacciuolo A., The performance requirements analysis with fuzzy logic, Fuzzy Economic Review 1999, IV, 1, 35-69.
  • [11] Chu A.Kalaba R., Springarn R.A., Comparison of two methods for determining the weight of belonging to fuzzy sets, J. of Optimisation Theory and Applications 1979, 27, 4, 531-538.
  • [12] Sevastianov P., Tumanov N., Multi-criteria identification and optimization of technological processes, Science and Engineering, Minsk 1990 (in Russian).
  • [13] Dubois, Prade H., Fuzzy sets and systems, Theory and Applications, Akad. Press, New York 1980.
  • [14] Yager R., Multiple objective decision-making using fuzzy sets, Int. J. Man-Mach. Stud. 1979, 9, 4, 375-382.
  • [15] Bellman R., Zadeh L.A., Decision making in fuzzy environment, Management Science 1970, 17, 141-164.
  • [16] The Holy Gospel of Jesus Christ, According to St. John l:1.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0015-0062
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