Method fuzzy evaluation for project decision support systems in stages creating samples of weapons and military equipment
DOI:
https://doi.org/10.34169/2414-0651.2019.3(23).99-109Keywords:
information-analytical system, transdisciplinary ontologies, Artificial Intelligence, fuzzy evaluation, mathematical models, fuzzy logicAbstract
The article describes the developed fuzzy evaluation methodology for decision support systems in the process of creating weapons and military equipment. The practical value of the methodology is that it was based on the development of software tools to support the choice of solutions. To achieve this goal, the basic principles of artificial intelligence methods, sophisticated technical systems, fuzzy logic, and multi-parameter and multi-criteria optimization were used.
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References
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32. Strizhak, O. E., Goriterkov, V.V., Franchuk, O. V. and Popov, M. (2014), “Ontolohiia zadachi vyboru ta yii zastosuvannia pry analizi limnolohichnykh system” [Ontology of the choice problem and its application in the analysis of limnological systems], Ecological safety and nature management: Сoll. of scientifi c researches of Kyiv Nat. Univ. of Civil Engineering and Architecture and Inst. of Telecommunications and Global Information Space of the Nat. Acad. of Sciences of Ukraine. No. 15, pp. 172-183.
33. Holovin, O. O. and Stryzhak, O. E. (2018), “Okremi tehnologichni aspekti vprovadzhennya printsipiv merezhetsentrichnosti v perspektivni znannya-orientovani informatsiyno-analitichni sistemi upravlinnya rozvitkom ozbroennya ta viyskovoyi tehniki” [Separate technological aspects of the introduction of the principles of network centricity into perspective knowledgeoriented information and analytical systems for the management of the development of armaments and military equipment], Weapons and military equipment, K., Central Scientifi c Research Inst. of Armament and Military Equipment of Armed Forces of Ukraine. No. 4(20). Pp. 19 – 25.
2. Larichev, O. I. and Moshkevich, Ye. M. (1996), “Kachestvennyye metody prinyatiya resheniy” [Qualitative decision making methods]. Nauka, M. 401 р.
3. Katulev, A. N. and Severtsev, N. A. (2005), “Matematicheskiye metody v sistemakh podderzhki vybora resheniy: ucheb. Posobiye” [Mathematical methods in decision support systems]. M. 311 р.
4. Petrovskiy, A. B. “Komp’yuternaya podderzhka prinyatiya resheniy: sovremennoye sostoyaniye i perspektivy razvitiya. Sistemnyye issledovaniya. Metodologicheskiye problemy” [Computer decision support: current state and development prospects]. Editorial URSS, M. № 24. 1995-1996. Рp. 146-178.
5. Petrovskiy, A. B. (2009), “Teoriya prinyatiya resheniy” [Decision theory]. Publ. Akademiya, M. 398 р.
6. Trakhtengerts, E. A. (1998), “Komp’yuternaya podderzhka prinyatiya resheniy” [Computer decision support]. SINTEG, M. 468 р.
7. Orlov, A. I. (2004), “Teoriya prinyatiya resheniy” [Decision making theory. Tutorial]. M. 656 р.
8. Venttsel’, Ye. S. (1988), “Issledovaniye operatsiy: zadachi, printsipy, metodologiya. 2-ye izd.” [Operations Research: Tasks, Principles, Methodology]. M. 208 р.
9. Kini, R. L. and Rayfa, K. H. (1981), “Prinyatiye resheniy pri mnogikh kriteriyakh: predpochteniya i zameshcheniya” [Decision making under many criteria: preferences and substitutions]. M. 560 р.
10. Roy, B. (1996), “Multicriteria methodology for decision aiding”. Kluwer Academic Publishers, Dodrecht, 223 p.
11. Saati, T. (1993), “Prinyatiye resheniy. Metod analiza iyerarkhiy” [Making decisions. Hierarchy analysis method]. M., 278 р.
12. Saaty, T. L. The Analytic Hierarchy Process, Planning, Piority Setting, Resource Allocation. McGraw-Hill, New York, 1980. 287 p.
13. Altunin, A. Ye. and Semukhin, M. V. (2000), “Modeli i algoritmy prinyatiya resheniy v nechetkikh usloviyakh” [Decision Models and Algorithms in Fuzzy Conditions]. Publ. Tyumen State Univ. Tyumen, 352 р.
14. Averkin, A. N., etc. (1986), “Nechetkiye mnozhestva v modelyakh upravleniya i iskusstvennogo intellekta” pod. red. D. A. Pospelova” [Fuzzy sets in control and artifi cial intelligence models, ed. D. A. Pospelov]. Nauka, M. 312 р.
15. Melikhov, A. N., Bernshteyn, L. S. and Korovin, S. Ya. (1990), “Situatsionnyye sovetuyushchiye sistemy s nechotkoy logikoy” [Fuzzy Situational Advisory Systems]. Nauka, M. 440 р.
16. Borisov, A. N. etc. (1989), “Obrabotka nechetkoy informatsii v sistemakh prinyatiya resheniy” [Making decisions based on fuzzy models: examples of use]. 304 р.
17. Borisov, A. N., Krumberg, O. A. and Fedorov, I. P. (1990), “Prinyatiye resheniy na osnove nechetkikh modeley: Primery ispol’zovaniya” [Making decisions based on fuzzy models: examples of use]. Riga. 184 р.
18. Pospelov, D. A. (1986), “Nechetkiye mnozhestva v modelyakh upravleniya i iskusstvennogo intellekta” [Fuzzy sets in control and artifi cial intelligence models]. M. 312 р.
19. Bellman, R. and Zade, L. (1976), “Prinyatiye resheniy v rasplyvchatykh usloviyakh” [Decision Making in Vague Conditions], Voprosy analiza i protsedury prinyatiya resheniy: sb. perevodov − Analysis Questions and Decision Procedures: Coll. Translation, ed. I. F. Shakhnova]. M. Рp. 172–215.
20. Bellman, R. E. and Zadeh, L. A. Decision-making in fuzzy environment. Management Science. Vol. 17. No.4. 1970. Pp. 141–164.
21. Mamdani, E. H. and Assilian, S. An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. of Man-Machine Studies. Vol. 7. No. 1. 1975. P. 1–13.
22. Sugeno, M. Industrial applications of fuzzy control. Elsevier Science Pub. Co., 1985. 269 p.
23. Dyubua, D. and Prad, A. (1990), “Teoriya vozmozhnostey. Prilozheniya k predstavleniyu znaniy v informatike” [Theory of Opportunities. Applications to there presentation of knowledge in computer science]. M. 288 р.
24. Kofman, A. and Khil Alukha Kh. (1992), “Vvedeniye teorii nechetkikh mnozhestv v upravlenii predpriyatiyami” [Introduction of the theory of fuzzy sets in enterprise management]. M. 224 р.
25. Takagi, T. and Sugeno, M. Fuzzy identifi cation of systems and its application to modeling and control. IEEE Transactions on Systems, Man and Cybernetics. Vol. 15. No 1. 1985. Pp. 116–132.
26. Yager, R. (1986), “Mnozhestva urovnya dlya otsenki prinadlezhnosti nechetkikh podmnozhestv” [Level sets for assessing the belonging of fuzzy subsets, Fuzzy sets and the theory of possibilities]. M. Рp. 71–78.
27. Zade, L. (1976), “Ponyatiye lingvisticheskoy peremennoy i yego primeneniye k prinyatiyu priblizhennykh resheniy” [The concept of a linguistic variable and its application to making approximate decisions]. M. 165 р.
28. Zade, L. (1974), “Osnovy novoho podkhoda k analyzu slozhnykh system y protsessov prynyatyya reshenyy” [Basics of a new approach to the analysis of complex systems and decision-making processes]. M. Рp. 5–49.
29. Zadeh, L. A. Fuzzy sets. Information and Control. Vol. 8. 1965. Pp. 338–353.
30. Stryzhak, O. E. (2013), ”Zasobi ontologichnoyi integratsiyi i suprovodu rozpodilenih prostorovih ta semantichnih informatsiynih resursiv” [Means of ontological integration and maintenance of distributed spatial and semantic information resources], Ecological safety and nature management: Сoll. of scientifi c researches of Kyiv Nat. Univ. of Civil Engineering and Architecture and Inst. of Telecommunications and Global Information Space of the Nat. Acad. of Sciences of Ukraine. No. 12. Pp. 166-177.
31. Stryzhak, O. E. (2014), “Ontologicheskie aspektyi transdistsiplinarnoy integratsii informatsionnyih resursov” [Ontological aspects of the transdisciplinary integration of information resources], Otkryityie informatsionnyie i kompyuternyie integrirovannyie tehnologii. No. 65. Pp. 211-223.
32. Strizhak, O. E., Goriterkov, V.V., Franchuk, O. V. and Popov, M. (2014), “Ontolohiia zadachi vyboru ta yii zastosuvannia pry analizi limnolohichnykh system” [Ontology of the choice problem and its application in the analysis of limnological systems], Ecological safety and nature management: Сoll. of scientifi c researches of Kyiv Nat. Univ. of Civil Engineering and Architecture and Inst. of Telecommunications and Global Information Space of the Nat. Acad. of Sciences of Ukraine. No. 15, pp. 172-183.
33. Holovin, O. O. and Stryzhak, O. E. (2018), “Okremi tehnologichni aspekti vprovadzhennya printsipiv merezhetsentrichnosti v perspektivni znannya-orientovani informatsiyno-analitichni sistemi upravlinnya rozvitkom ozbroennya ta viyskovoyi tehniki” [Separate technological aspects of the introduction of the principles of network centricity into perspective knowledgeoriented information and analytical systems for the management of the development of armaments and military equipment], Weapons and military equipment, K., Central Scientifi c Research Inst. of Armament and Military Equipment of Armed Forces of Ukraine. No. 4(20). Pp. 19 – 25.
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Published
2019-09-26
How to Cite
Holovin, O., Zirka, M., Kadet, N., Fregan, N., & Kotsiuruba, V. (2019). Method fuzzy evaluation for project decision support systems in stages creating samples of weapons and military equipment. Weapons and Military Equipment, 23(3), 99–109. https://doi.org/10.34169/2414-0651.2019.3(23).99-109
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Section
METHODS OF SCIENTIFIC RESEARCH
