Search Results - fuzzy programming method and integral solution

Value Iteration-Based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators via Integral Reinforcement Learning.

Authors: Dong, Bo Jiang, Hucheng Cui, Yiming et al.

Source: International Journal of Fuzzy Systems. Jun2024, Vol. 26 Issue 4, p1347-1363. 17p.

Subject Terms: Adaptive fuzzy control, Reinforcement learning, Backstepping control method, Dynamic programming, Robot control systems, Cost functions

Generalized Shapley Choquet Integral Operator Based Method for Interactive Interval-Valued Hesitant Fuzzy Uncertain Linguistic Multi-Criteria Group Decision Making

Authors: Shu-Ping Wan Jia Yan Wen-Chang Zou et al.

Source: IEEE Access, Vol 8, Pp 202194-202215 (2020)

Subject Terms: Multi-criteria group decision making, interval-valued hesitant fuzzy uncertain linguistic sets, Shapley Choquet integral, technique for order preference by similarity to ideal solution (TOPSIS), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9242241/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/dfcad597e4324542b6b0197640984e4d

Novel Fuzzy Best-Worst Multicriteria Decision-Making Method Based on the Dual Interval Algorithm for Environmental Decision Support Systems.

Authors: Cheng, Y. Jin, L. Fu, H. Y. et al.

Source: Journal of Environmental Informatics. Dec2024, Vol. 44 Issue 2, p155-169. 15p.

Subject Terms: Decision support systems, Statistics, Linear programming, Constrained optimization, Arithmetic, Fuzzy numbers, Membership functions (Fuzzy logic), Ambiguity

An analytic method based on plane decomposition for solving two-stage fuzzy EV programming problem.

Authors: Hao Zhai Jianguo Zhang

Source: Journal of Intelligent & Fuzzy Systems. 2017, Vol. 33 Issue 4, p2235-2247. 13p.

Subject Terms: *LINEAR programming, FUZZY systems, FUZZY numbers, MATHEMATICAL equivalence, LINEAR systems

A novel intuitionistic fuzzy goal programming method for heterogeneous MADM with application to regional green manufacturing level evaluation under multi-source information.

Authors: Yu, Gao-Feng Li, Deng-Feng

Source: Computers & Industrial Engineering. Dec2022, Vol. 174, pN.PAG-N.PAG. 1p.

Subject Terms: *DECISION making, GOAL programming, BILEVEL programming, HESITATION

Computation of a multi-objective production planning model with probabilistic constraints.

Authors: Sahoo, N.P. Biswal, M.P.

Source: International Journal of Computer Mathematics. Jan2009, Vol. 86 Issue 1, p185-198. 14p. 8 Charts.

Subject Terms: *Fuzzy systems, Production planning, Statistical weighting, Integral operators, Nonlinear programming

An integrated recycling facility selection using neutrosophic TOPSIS for sustainable biomedical waste management.

Authors: Suhail F Das A

Source: Environmental monitoring and assessment [Environ Monit Assess] 2025 Aug 06; Vol. 197 (9), pp. 984. Date of Electronic Publication: 2025 Aug 06.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

MeSH Terms: Recycling*/methods , Medical Waste Disposal*/methods , Medical Waste*/statistics & numerical data , Medical Waste*/analysis , Waste Management*/methods, India

Safety-Critical Cooperative Target Enclosing Control of Autonomous Surface Vehicles Based on Finite-Time Fuzzy Predictors and Input-to-State Safe High Order Control Barrier Functions

Authors: Jiang, Yue Peng, Zhouhua Liu, Lu et al.

Index Terms: Autonomous surface vehicle, Control barrier function, Control systems, Cooperative target enclosing, Fuzzy predictor, Kinetic theory, Neural networks, Safety, Safety-critical control, Sea surface, Uncertainty, Vehicle dynamics, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-130284
https://doi.org/10.1109/TFUZZ.2023.3309706
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1063-6706&rft.volume=&rft.issue=&rft.date=2023&rft.spage=1&rft.aulast=Jiang&rft.aufirst=Yue&rft.atitle=Safety-Critical+Cooperative+Target+Enclosing+Control+of+Autonomous+Surface+Vehicles+Based+on+Finite-Time+Fuzzy+Predictors+and+Input-to-State+Safe+High+Order+Control+Barrier+Functions&rft.title=IEEE+Transactions+on+Fuzzy+Systems
http://www.scopus.com/record/display.url?eid=2-s2.0-85169681010&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=001179721500054

Interval-fuzzy possibilistic mixed integer linear programming for environmental management under uncertainty.

Authors: Li, Y. P. Huang, G. H. Guo, P. et al.

Source: International Journal of Environment & Pollution. 2010, Vol. 42 Issue 1-3, p107-124. 18p.

Subject Terms: Fuzzy integrals, Linear programming, Environmental management, Solid waste, Algorithms

Interactive fuzzy stochastic two-level integer programming through fractile criterion optimization.

Authors: Sakawa, Masatoshi Katagiri, Hideki Matsui, Takeshi

Source: Operational Research; Aug2012, Vol. 12 Issue 2, p209-227, 19p

Fuzzy Programming for Multiobjective Linear Optimal Control Problems / 多目的線形最適制御問題に対するファジィ計画法

Authors: Kosuke KATO Masahiro INUIGUCHI Masatoshi SAKAWA et al.

Source: 日本ファジィ学会誌 / Journal of Japan Society for Fuzzy Theory and Systems. 1994, 6(6):1202

An interactive fuzzy satisficing method based on second-order stochastic dominance for multiobjective stochastic programming problems / 多目的確率計画問題に対する二次確率優越に基づく対話型ファジィ満足化手法

Authors: Atsushi OGAWA Hideki KATAGIRI Kosuke KATO et al.

Source: 知能と情報 / Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 2007, 19(4):402

On the Resolution of the System of Fuzzy Integer Inequalities.

Authors: Liu, F. -B. Hu, C.-F.

Source: International Journal of Fuzzy Systems. Sep2007, Vol. 9 Issue 3, p162-168. 7p. 1 Graph.

Subject Terms: Fuzzy integrals, Integral inequalities, Concave functions, Convex programming, Integer programming, Lagrange equations

Solving intuitionistic fuzzy multi-objective linear programming problem and its application in supply chain management

Authors: Hassanpour, Hassan Hosseinzadeh, Elham Moodi, Mahsa

Subject Terms: keyword:multi-objective linear programming, keyword:intuitionistic fuzzy set, keyword:accuracy function, keyword:membership function, keyword:non-membership function, keyword:supplier selection, msc:03F55, msc:90B06, msc:90C08, msc:90C70

File Description: application/pdf

Relation: mr:MR4586122; zbl:Zbl 07729497; reference:[1] Ahmadini, A. A. H., Ahmad, F.: Solving intuitionistic fuzzy multiobjective linear programming problem under neutrosophic environment.AIMS Math. 6 (2021), 4556-4580. MR 4220424, 10.3934/math.2021269; reference:[2] Amid, A., Ghodsypour, S. H., O'Brien, C.: A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain.Int. J. Prod. Econ. 131 (2011), 139-145. 10.1016/j.ijpe.2010.04.044; reference:[3] Angelov, P. P.: Optimization in an intuitionistic fuzzy environment.Fuzzy Sets Syst. 86 (1997), 299-306. Zbl 0915.90258, MR 1454190, 10.1016/S0165-0114(96)00009-7; reference:[4] Atanassov, K. T.: Intuitionistic fuzzy sets.Fuzzy Sets Syst. 20 (1986), 87-96. Zbl 0631.03040, MR 0852871, 10.1016/S0165-0114(86)80034-3; reference:[5] Bharati, S. K., Singh, S. R.: Solution of multiobjective linear programming problems in interval-valued intuitionistic fuzzy environment.Soft Comput. 23 (2019), 77-84. Zbl 1415.90115, 10.1007/s00500-018-3100-6; reference:[6] Chang, K.-H.: A novel supplier selection method that integrates the intuitionistic fuzzy weighted averaging method and a soft set with imprecise data.Ann. Oper. Res. 272 (2019), 139-157. Zbl 1434.90018, MR 3895140, 10.1007/s10479-017-2718-6; reference:[7] Ehrgott, M.: Multicriteria Optimization.Springer, Berlin (2005). Zbl 1132.90001, MR 2143243, 10.1007/3-540-27659-9; reference:[8] Garg, H.: A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems.Appl. Soft Comput. 38 (2016), 988-999. 10.1016/j.asoc.2015.10.040; reference:[9] Kabiraj, A., Nayak, P. K., Raha, S.: Solving intuitionistic fuzzy linear programming problem.Int. J. Intelligence Sci. 9 (2019), 44-58. 10.4236/ijis.2019.91003; reference:[10] Li, D.-F.: A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems.Comput. Math. Appl. 60 (2010), 1557-1570. Zbl 1202.91054, MR 2679124, 10.1016/j.camwa.2010.06.039; reference:[11] Li, D.-F.: Linear programming method for MADM with interval-valued intuitionistic fuzzy sets.Expert Syst. Appl. 37 (2010), 5939-5945. 10.1016/j.eswa.2010.02.011; reference:[12] Malhotra, R., Bharati, S. K.: Intuitionistic fuzzy two stage multiobjective transportation problems.Adv. Theor. Appl. Math. 11 (2016), 305-316.; reference:[13] Mohan, S., Kannusamy, A. P., Sidhu, S. K.: Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis.Comput. Intell. 37 (2021), 852-872. MR 4270699, 10.1111/coin.12435; reference:[14] Qu, G., Qu, W., Zhang, Z., Wang, J.: Choquet integral correlation coefficient of intuitionistic fuzzy sets and its applications.J. Intell. Fuzzy Syst. 33 (2017), 543-553. Zbl 1376.68134, 10.3233/JIFS-162131; reference:[15] Sakawa, M.: Fuzzy Sets and Interactive Multiobjective Optimization.Springer, New York (1993). Zbl 0842.90070, MR 1216139, 10.1007/978-1-4899-1633-4; reference:[16] Singh, S. K., Yadav, S. P.: Modeling and optimization of multi objective non-linear programming problem in intuitionistic fuzzy environment.Appl. Math. Modelling 39 (2015), 4617-4629. Zbl 1443.90067, MR 3354856, 10.1016/j.apm.2015.03.064; reference:[17] Singh, S. K., Yadav, S. P.: A new approach for solving intuitionistic fuzzy transportation problem of type-2.Ann. Oper. Res. 243 (2016), 349-363. Zbl 1348.90658, MR 3529807, 10.1007/s10479-014-1724-1; reference:[18] Tooranloo, H. S., Iranpour, A.: Supplier selection and evaluation using interval-valued intuitionistic fuzzy AHP method.Int. J. Procurement Management 10 (2017), 539-554. 10.1504/IJPM.2017.086399; reference:[19] Wan, S., Dong, J.: A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making.J. Comput. Syst. Sci. 80 (2014), 237-256. Zbl 1311.68156, MR 3105919, 10.1016/j.jcss.2013.07.007; reference:[20] Wan, S., Dong, J.: A novel extension of best-worst method with intuitionistic fuzzy reference comparisons.IEEE Trans. Fuzzy Syst. 30 (2022), 1698-1711. 10.1109/TFUZZ.2021.3064695; reference:[21] Wan, S.-P., Li, D.-F.: Atanassov's intuitionistic fuzzy programming method for heterogeneous multiattribute group decision making with Atanassov's intuitionistic fuzzy truth degrees.IEEE Trans. Fuzzy Syst. 22 (2013), 300-312. 10.1109/TFUZZ.2013.2253107; reference:[22] Wan, S.-P., Li, D.-F.: Fuzzy mathematical programming approach to heterogeneous multiattribute decision-making with interval-valued intuitionistic fuzzy truth degrees.Inf. Sci. 325 (2015), 484-503. Zbl 1390.91119, MR 3392316, 10.1016/j.ins.2015.07.014; reference:[23] Wan, S.-P., Wang, F., Dong, J.-Y.: A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection.Appl. Soft Comput. 38 (2016), 405-422. 10.1016/j.asoc.2015.09.039; reference:[24] Wan, S.-P., Wang, F., Lin, L.-L., Dong, J.-Y.: An intuitionistic fuzzy linear programming method for logistics outsourcing provider selection.Knowledge-Based Syst. 82 (2015), 80-94. 10.1016/j.knosys.2015.02.027; reference:[25] Wan, S.-P., Wang, F., Xu, G.-L., Dong, J.-Y., Tang, J.: An intuitionistic fuzzy programming method for group decision making with interval-valued fuzzy preference relations.Fuzzy Optim. Decis. Mak. 16 (2017), 269-295. Zbl 1428.90090, MR 3682924, 10.1007/s10700-016-9250-z; reference:[26] Wei, A.-P., Li, D.-F., Lin, P.-P., Jiang, B.-Q.: An information-based score function of interval-valued intuitionistic fuzzy sets and its application in multiattribute decision making.Soft Comput. 25 (2021), 1913-1923. Zbl 7560958, 10.1007/s00500-020-05265-0; reference:[27] Ye, J.: Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems.Expert Syst. Appl. 38 (2011), 11730-11734. 10.1016/j.eswa.2011.03.059

Availability: http://hdl.handle.net/10338.dmlcz/151654

An interactive weighted fuzzy goal programming technique to solve multi-objective reliability optimization problem

Authors: Kundu, Tanmay Islam, Sahidul

Subject Terms: ddc:650, Reliability, Fuzzy programming, Multi-objective programming, Interactive methods, Goal programming

Relation: http://hdl.handle.net/10419/267654

Availability: http://hdl.handle.net/10419/267654
https://doi.org/10.1007/s40092-019-0321-y

Interval type-2 fuzzy logic and modular neural networks for face recognition applications

Authors: Mendoza, Olivia Melín, Patricia Castillo, Oscar

Source: Applied Soft Computing. Sep2009, Vol. 9 Issue 4, p1377-1387. 11p.

Subject Terms: Fuzzy logic, Artificial neural networks, Modular programming, Fuzzy integrals, Face perception, Pattern perception, Forecasting

Optimal Water Resources Allocation in the Yinma River Basin in Jilin Province, China, Using Fuzzy Programming.

Authors: Li, Pengyu Yang, Hao He, Wei et al.

Source: Water (20734441); Jul2022, Vol. 14 Issue 13, p2119-N.PAG, 19p

Subject Terms: WATER shortages, WATER rights, WATERSHEDS, WATER distribution, WATER reuse, WATERSHED management

Geographic Terms: JILIN Sheng (China), CHINA

Study on Optimal Allocation of Water Resources Based on Uncertain Multi-Objective Fuzzy Model: A Case of Pingliang City, China.

Authors: Zhao, Yun Zhang, Rui Shu, Heping et al.

Source: Water (20734441); Aug2024, Vol. 16 Issue 15, p2099, 25p

Subject Terms: WATER rights, WATER resources development, WATER supply, ARID regions, CITIES & towns

Development of a fuzzy optimization model for the formation of a portfolio of well-being program activities to increase employee productivity ; Разработка нечеткой оптимизационной модели формирования портфеля мероприятий программы well-being для повышения производительности сотрудников

Authors: Мазелис, Лев С. Гренкин, Глеб В. Лавренюк, Кирилл И. et al.

Source: Business Informatics; Vol 19 No 1 (2025); 50-71 ; Бизнес-информатика; Том 19 № 1 (2025); 50-71 ; 2587-8158 ; 2587-814X ; 10.17323/2587-814X.2025.1

Subject Terms: well-being program, employee burnout, competence development, portfolio optimization, fuzzy-multiple approach, программа well-being, выгорание сотрудника, развитие компетентности, оптимизация портфеля мероприятий, нечетко-множественный подход

File Description: application/pdf

Relation: https://bijournal.hse.ru/article/view/26724/22298; https://bijournal.hse.ru/article/view/26724/22299; https://bijournal.hse.ru/article/view/26724

Availability: https://bijournal.hse.ru/article/view/26724
https://doi.org/10.17323/2587-814X.2025.1.50.71

A Sequential Fuzzy Model with General-Shaped Parameters for Water Supply-Demand Analysis.

Authors: Xu, T. Qin, X.

Source: Water Resources Management; Mar2015, Vol. 29 Issue 5, p1431-1446, 16p

Subject Terms: WATER resources development, FUZZY sets, WATER supply management, WATER shortages, WATER demand management, WATER rights