Qaror qabul qilish jarayonlarida bipolyar to‘plamlardan foydalanish
Боковая панель статьи
Основное содержимое статьи
Аннотация
Qarorlarni qo‘llab-quvvatlash tizimlari (QQQT) ko‘p qirrali qarorlarni qo‘llab-quvvatlashning ilmiy usullarini birlashtirgan asosiy vositalari hisoblanadi. Bunday tizimlar qo‘llab-quvvatlashning ilmiy usullarini axborot texnologiyalari fanlari usullari bilan birlashtiradi va ularning qo‘llanish sohalari kengayishiga olib keladi. QQQT ilg‘or hisoblash algoritmlari, noaniq ma’lumotlar, ma’lumotlarni intellektual tahlilini bipolyar noravshan mantiq orqali hisoblash yangi bosqichga olib keladi. Ushbu tizimlar katta ma’lumotlar to‘plamini tahlil qilish, shablonlarni aniqlash va qimmatli ma’lumotlarni taqdim etish uchun mo‘ljallangan bo‘lib, qaror qabul qiluvchilarga insonning kognitiv cheklovlari keng qamrovli tahlilga to‘sqinlik qilishi mumkin bo‘lgan murakkab ssenariylarda ongli va strategik tanlov qilish imkonini beradi.
Информация о статье
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
Библиографические ссылки
L. A. Zadeh, 1965, “Fuzzy sets,” Information and control 8, 338–353.
Hazır, O. A review of analytical models, approaches and decision support tools in project monitoring and control // International Journal of Project Management, 2015, 33(4), 808-815.
Yousef Al-Qudah and Nasruddin Hassan. Bipolar fuzzy soft expert set and its application in decision making// Int. J. Applied Decision Sciences, Vol. 10, No. 2, 2017.
Adam, F. and Hassan, N., 2016, ‘Multi Q-fuzzy soft expert set and its application’, Journal of Intelligent and Fuzzy Systems, Vol. 30, No. 2, pp.943–950.
Bellman R., Zade L. Prinyatiye resheniy v rasplyvchatykh usloviyakh - V sb.: Voprosy analiza i protsedury prinyatiya resheniy. M: Mir, 1976, s.172-215.
Primova H. A., Axmedova R.Sh., Gaybulov Q. Methods for applying fuzzy set theory to the selection of environment all friendly building protection materials // of the 8th International conference “Actual problems of applied mathematics and information technologies” - Al-Khwarizmi 2023. September 25-26, 2023, SamSU, Samarkand. pp.285-286. https://apmath.nuu.uz
Rotshteyn A.P., Kotelnikov D.I. Identifikatsiya nelineynykh zavisimostey nechetkimi bazami znaniy // Kibernetika i sistemnyy analiz. 1998. -№5. -S.53-61.
Yin Yang Bipolar Fuzzy Sets // Article in IEEE International Conference on Fuzzy Systems. June 1998.
Primova X.A., Abdullayev A.A. Samarqand shahar chorrahasida transport oqimini bartaraf etish yo’llari// Me’morchilik va qurilish muammolari (ilmiy-texnik jurnal), 2023, 18-19 may, maxsus son, 277-283 betlar.
Primova, K., Vaydullaeva, M., & Nabieva, S. (2023). The Role of Mobile Applications in Assessment and Analysis of Medical Information. International Journal of Theoretical and Applied Issues of Digital Technologies, 5(3), 40–46.
Primova X.A., Axmedova R. Gaybulov K.M., Qurilish materiallari xossalari va uning tavsiflarining tegishlilik funksiyasini qurish Me’morchilik va qurilish muammolari (ilmiy-texnik jurnal) 2023, №3, 266-270 betlar.
M. Akram, G. Muhammad, and T. Allahviranloo, “Bipolar fuzzy linear system of equations,” Computational and Applied Mathematics 38, 69, 2019.
W.-R. Zhang, “Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and multiagent decision analysis,” in Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society, Biannual Conference. The Industrial Fuzzy Control and Intelligence (IEEE, 1994) pp. 305–309.
W.-R. Zhang, “(Yin)(Yang) bipolar fuzzy sets,” in 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No. 98CH36228), Vol. 1 (IEEE, 1998) pp. 835–840.