Search Results - multiobjective programming ((problems OR problemas) OR problemas) with uncertain data*

Robust Optimality and Duality for Nonsmooth Multiobjective Programming Problems with Vanishing Constraints Under Data Uncertainty.

Authors: Upadhyay, Balendu Bhooshan Singh, Shubham Kumar Stancu-Minasian, I. M. et al.

Source: Algorithms. Nov2024, Vol. 17 Issue 11, p482. 30p.

Subject Terms: *ROBUST optimization, *CONSTRAINED optimization

Robust optimality conditions for multiobjective programming problems under data uncertainty and its applications.

Authors: Nguyen, Thuy Thi Thu Su, Tran Van Linh, Dang Hong

Source: Optimization. Mar2024, Vol. 73 Issue 3, p641-672. 32p.

Subject Terms: *SUBDIFFERENTIALS, *FRACTIONAL programming, *ARGUMENT

Robust optimality conditions and duality for nonsmooth multiobjective fractional semi-infinite programming problems with uncertain data.

Authors: Thu Thuy, Nguyen Thi Van Su, Tran

Source: Optimization. Jul2023, Vol. 72 Issue 7, p1745-1775. 31p.

Subject Terms: *FRACTIONAL programming, *PARETO analysis, *ROBUST optimization, *SUBDIFFERENTIALS, *CONJUGATE gradient methods

Research on Comparision between Deterministic Method and Uncertain Method for Solving Uncertain Multiobjective Programming.

Authors: Zheng, Mingfa Zhong, Haitao Zheng, Aoyu et al.

Source: Symmetry (20738994). Mar2022, Vol. 14 Issue 3, p470-470. 27p.

Subject Terms: *INFORMATION asymmetry, *PROBLEM solving, *DATA analysis

On the Fuzzy Extension Principle for LP Problems with Interval Type-2 Technological Coefficients ; Acerca Del Principio De Extensión Para Problemas LP Con Parámetros Difusos Tipo-2 De Intervalo

Authors: Figueroa, Juan Carlos

Source: Ingeniería; Vol. 20 No. 1 (2015): January - June; 129-138 ; Ingeniería; Vol. 20 Núm. 1 (2015): Enero - Junio; 129-138 ; 2344-8393 ; 0121-750X

Subject Terms: Fuzzy sets, Linear Programming, Extension Principle

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Relation: https://revistas.udistrital.edu.co/index.php/reving/article/view/8198/10153; https://revistas.udistrital.edu.co/index.php/reving/article/view/8198/10316; R. E. Bellman and Lofti A. Zadeh. Decision-making in a fuzzy environment. Management Science, 17(1):141– 164, 1970. [2] Juan Carlos Figueroa-García. An approximation method for type reduction of an interval Type-2 fuzzy set based on α-cuts. In IEEE, editor, Proceedings of FEDCSIS 2012, pages 1–6. IEEE, 2012. [3] Juan Carlos Figueroa-García. A general model for linear programming with interval type-2 fuzzy technological coefficients. In 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), pages 1–6. IEEE, 2012. [4] Juan Carlos Figueroa-García, Yurilev Chalco-Cano, and Heriberto Roma ́n-Flores. Distance measures for in- terval type-2 fuzzy numbers. Discrete Applied Mathematics, To appear(1), 2015. [5] Rafail N. Gasimov and Kursat Yenilmez. Solving fuzzy linear programming problems with linear membership functions. Turk J Math, 26(2):375–396, 2002. [6] George J. Klir and Tina A. Folger. Fuzzy Sets, Uncertainty and Information. Prentice Hall, 1992. [7] George J. Klir and Bo Yuan. Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, 1995. [8] Jerry Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall, 1994. [9] Jerry M. Mendel, Robert I. John, and Feilong Liu. Interval type-2 fuzzy logic systems made simple. IEEE Transactions on Fuzzy Systems, 14(6):808–821, 2006. [10] Jaroslav Ramík. Soft computing: overview and recent developments in fuzzy optimization. Technical report, Institute for Research and Applications of Fuzzy Modeling, 2001. [11] Jaroslav Ramík. Optimal solutions in optimization problem with objective function depending on fuzzy pa- rameters. Fuzzy Sets and Systems, 158(17):1873–1881, 2007. [12] Jaroslav Ramík and Josef Rimánek. Inequality relation between fuzzy numbers and its use in fuzzy optimiza- tion. Fuzzy Sets and Systems, 16:123–138, 1985. [13] Heinrich Rommelfanger. FULPAL - An interactive method for solving multiobjective fuzzy linear programming problems, pages 279–299. Reidel, Dordrecht, 1990. [14] Heinrich Rommelfanger. FULP - A PC-supported procedure for solving multicriteria linear programming problems with fuzzy data, pages 154–167. Springer-Verlag, 1991. [15] Heinrich Rommelfanger. Entscheiden bei UnschSrfe - Fuzzy Decision Support-Systeme 2nd ed. Springer-Verlag, Berlin/Heidelberg, 1994. [16] Heinrich Rommelfanger. A general concept for solving linear multicriteria programming problems with crisp, fuzzy or stochastic values. Fuzzy Sets and Systems, 158(17):1892–1904, 2007.; https://revistas.udistrital.edu.co/index.php/reving/article/view/8198

Availability: https://revistas.udistrital.edu.co/index.php/reving/article/view/8198

Parametric approach for approximate efficiency of robust multiobjective fractional programming problems.

Source: Mathematical Methods in the Applied Sciences. 9/30/2021, Vol. 44 Issue 14, p11211-11230. 20p.

Subject Terms: *FRACTIONAL programming, *ROBUST optimization, *UNCERTAINTY

Gestão da incerteza em problemas de programação linear multi-objectivo com coeficientes intervalares

Authors: Lucas, Solange Maria Fortuna

Relation: Lucas, Solange Maria Fortuna - Gestão da incerteza em problemas de programação linear multi-objectivo com coeficientes intervalares. Coimbra, 2007.

Availability: https://hdl.handle.net/10316/8551

Interval-Valued Multiobjective Programming Problems Based on Convex Cones.

Authors: Wu, Hsien-Chung

Source: Symmetry (20738994); Sep2024, Vol. 16 Issue 9, p1120, 26p

Subject Terms: PARETO optimum, VECTOR spaces, MULTIPLICATION, COLLECTIONS

On relations between nonsmooth interval-valued multiobjective programming problems and generalized Stampacchia vector variational inequalities.

Authors: Upadhyay, B. B. Stancu-Minasian, I.M. Mishra, Priyanka

Source: Optimization; Oct2023, Vol. 72 Issue 10, p2635-2659, 25p

Subject Terms: MATHEMATICAL programming, VARIATIONAL principles, NONSMOOTH optimization, VARIATIONAL inequalities (Mathematics)

Approximate optimality conditions and mixed type duality for semi-infinite multiobjective programming problems involving tangential subdifferentials.

Authors: Liu, Juan Long, Xian-Jun Huang, Nan-Jing

Source: Journal of Industrial & Management Optimization; Sep2023, Vol. 19 Issue 9, p1-20, 20p

Subject Terms: SUBDIFFERENTIALS, LITERATURE

ON THE SOLUTION OF MULTIPLE OBJECTIVE INTEGER LINEAR FRACTIONAL PROGRAMMING PROBLEMS WITH UNCERTAIN DATA

Authors: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae et al.

Contributors: Omar M. Saad Tawfik R. Mohamed Mervat K. Alshafae et al.

Source: http://www.ijma.info/index.php/ijma/article/download/1521/873/.

Subject Terms: Multi-objective Programming, Fractional Programming, Stochastic Programming, Integer Programming

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.1171; http://www.ijma.info/index.php/ijma/article/download/1521/873/

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.1171
http://www.ijma.info/index.php/ijma/article/download/1521/873/

ASN-ASAS SYMPOSIUM: FUTURE OF DATA ANALYTICS IN NUTRITION: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics^,.

Authors: Tedeschi, Luis O¹

Source: Journal of Animal Science. May2019, Vol. 97 Issue 5, p1921-1944. 24p.

Subjects: Artificial intelligence, Computer programming, Deep learning, Machine learning, Mathematical models, Simulation methods & models

Solving the general fully neutrosophic multi-level multiobjective linear programming problems.

Authors: Lachhwani, Kailash

Source: OPSEARCH; Dec2021, Vol. 58 Issue 4, p1192-1216, 25p

A Fuzzy programming approach for interval multiobjective solid transportation problem.

Authors: Dalman, Hasan¹ hsandalman@gmail.com

Source: New Trends in Mathematical Sciences. 2016, Vol. 4 Issue 4, p114-127. 14p.

Subject Terms: *FUZZY sets, *FUZZY algorithms, *LINEAR programming

Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management.

Authors: Ahmad, Firoz

Source: Annals of Operations Research; Apr2022, Vol. 311 Issue 2, p551-585, 35p

Subject Terms: SUPPLY chain management, MATHEMATICAL optimization, SUPPLY chain disruptions, FUZZY sets, SENSITIVITY analysis

Robustness in Nonsmooth Nonconvex Optimization Problems.

Authors: Mashkoorzadeh, F. Movahedian, N. Nobakhtian, S.

Source: Positivity; Apr2021, Vol. 25 Issue 2, p701-729, 29p

Subject Terms: NONSMOOTH optimization, ROBUST optimization

Modelos input-output multiobjectivo com coeficientes intervalares para o estudo das interacções economia-energia-ambiente

Authors: Henriques, Carla Margarida Saraiva de Oliveira

Relation: Henriques, Carla Margarida Saraiva de Oliveira - Modelos input-output multiobjectivo com coeficientes intervalares para o estudo das interacções economia-energia-ambiente. Coimbra, 2008.

Availability: https://hdl.handle.net/10316/8550

Sustainable Management and Environmental Protection for Basin Water Allocation: Differential Game-based Multiobjective Programming.

Authors: Di, Danyang Shi, Qi Wu, Zening et al.

Source: Water Resources Management; Jan2023, Vol. 37 Issue 1, p1-20, 20p

Subject Terms: WATER rights, ENVIRONMENTAL management, CARBON emissions, SUSTAINABLE development, DIFFERENTIAL games, ENVIRONMENTAL protection

Uma Introdução a Metodologias Fuzzy para Otimização Multiobjetivo em Ambiente Incerto

Authors: Ricardo Coelho

Source: Learning and Nonlinear Models. 19:51-68

MATHEMATICAL PROGRAMMING PROBLEMS WITH SEVERAL FUZZY OBJECTIVE FUNCTIONS.

Authors: KALONDA, LUHANDJULA MONGA JOSEPH, RANGOAGA MOETI

Source: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Jul2013 Supplement, Vol. 21, p51-62, 12p

Subject Terms: MATHEMATICAL programming, FUZZY systems, FUZZY numbers, COEFFICIENTS (Statistics), APPROXIMATION theory, FUZZY sets, OPERATOR theory