Suchergebnisse - "interval multi-objective linear programming"

Finding Efficient Solutions in Interval Multi-Objective Linear Programming Models by Uncertainty Theory

Autoren: A. Batamiz M. Hladík

Quelle: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 32:923-954

Finding efficient solutions in the interval multi-objective linear programming models

Autoren: Aida Batamiz Mehdi Allahdadi

Quelle: Yugoslav Journal of Operations Research, Vol 31, Iss 1, Pp 95-119 (2021)

Schlagwörter: interval multi-objective linear programming, 0211 other engineering and technologies, monte carlo simulation, Monte Carlo methods, 02 engineering and technology, variance, T58.6-58.62, Linear programming, efficient solution, expected value, 0202 electrical engineering, electronic engineering, information engineering, Management information systems, uncertainty, Multi-objective and goal programming, Monte Carlo simulation

Dateibeschreibung: application/xml

Zugangs-URL: http://www.doiserbia.nb.rs/ft.aspx?id=0354-02432000034B
https://zbmath.org/7345772
https://doi.org/10.2298/yjor190817034b
https://doaj.org/article/41915df787364b34905d699f05cf58f5
http://yujor.fon.bg.ac.rs/index.php/yujor/article/view/784
http://yujor.fon.bg.ac.rs/index.php/yujor/article/download/784/736

Generation of some methods for solving interval multi-objective linear programming models

Autoren: Mehdi Allahdadi Aida Batamiz

Quelle: OPSEARCH. 58:1077-1115

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/article/10.1007/s12597-021-00512-w
https://link.springer.com/content/pdf/10.1007/s12597-021-00512-w.pdf

Obtaining Efficient Solutions of Interval Multi-objective Linear Programming Problems

Autoren: Milan Hladík Aida Batamiz Mehdi Allahdadi

Quelle: International Journal of Fuzzy Systems. 22:873-890

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/article/10.1007/s40815-020-00800-5
https://doi.org/10.1007/s40815-020-00800-5
https://dblp.uni-trier.de/db/journals/ijfs/ijfs22.html#BatamizAH20

Land use allocation based on interval multi-objective linear programming model: A case study of Pi County in Sichuan Province

Autoren: Hongrui Wang Qiong Liu Yuanyuan Gao et al.

Quelle: Chinese Geographical Science. 20:176-183

Schlagwörter: 2. Zero hunger, 11. Sustainability, 15. Life on land, 01 natural sciences, 12. Responsible consumption, 0105 earth and related environmental sciences

Zugangs-URL: http://egeoscien.neigae.ac.cn/CN/abstract/abstract8437.shtml
https://link.springer.com/article/10.1007%2Fs11769-010-0176-z
http://zgdlkx.xml-journal.net/cn/article/doi/10.1007/s11769-010-0176-z
http://en.cnki.com.cn/Article_en/CJFDTotal-ZDKX201002012.htm

Obtaining Efficient Solutions of Interval Multi-objective Linear Programming Problems.

Autoren: Batamiz, Aida Allahdadi, Mehdi Hladík, Milan

Quelle: International Journal of Fuzzy Systems. Apr2020, Vol. 22 Issue 3, p873-890. 18p.

Schlagwörter: Linear programming, Problem solving, Lexicography, Banking industry, Uncertainty

Finding Efficient Solutions in Interval Multi-Objective Linear Programming Models by Uncertainty Theory.

Autoren: Batamiz, A. Hladík, M.

Quelle: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; Sep2024, Vol. 32 Issue 6, p923-954, 32p

Schlagwörter: LINEAR programming, MODELS & modelmaking, MODEL theory, VALUATION of real property, ENTROPY

Generation of some methods for solving interval multi-objective linear programming models.

Autoren: Allahdadi, Mehdi Batamiz, Aida

Quelle: OPSEARCH; Dec2021, Vol. 58 Issue 4, p1077-1115, 39p

FINDING EFFICIENT SOLUTIONS IN THE INTERVAL MULTI-OBJECTIVE LINEAR PROGRAMMING MODELS.

Autoren: BATAMIZ, Aida ALLAHDADI, Mehdi

Quelle: Yugoslav Journal of Operations Research; 2021, Vol. 31 Issue 1, p95-119, 25p

Schlagwörter: MONTE Carlo method, EXPECTED returns

Land use allocation based on interval multi-objective linear programming model: A case study of Pi County in Sichuan Province.

Autoren: Wang, Hongrui Gao, Yuanyuan Liu, Qiong et al.

Quelle: Chinese Geographical Science; Apr2010, Vol. 20 Issue 2, p176-183, 8p

Finding efficient solutions in the interval multi-objective linear programming models

Verfügbarkeit: http://data.europeana.eu/aggregation/europeana/92040/URN_RS_NAE_dc23837f_2279_4c70_9d1b_bfae484f9867cho
http://data.europeana.eu/item/92040/URN_RS_NAE_dc23837f_2279_4c70_9d1b_bfae484f9867cho

SOLUTION PROBLEM OF MULTI-OBJECTIVE LINEAR PROGRAMMING UNDER UNCERTAINTY: REAL CASE STUDY, (PRACTICAL APPLICATION IN BAGHDAD WATER DEPARTMENT)

Autoren: Ali Hussein, Iftikhar

Quelle: JOURNAL OF THEORY, MATHEMATICS AND PHYSICS; Vol. 3 No. 5 (2024): JOURNAL OF THEORY, MATHEMATICS AND PHYSICS; 9-30 ; 2181-4384

Schlagwörter: Interval linear programming, Rough interval linear programming, weighted sum method, Sen’s multi-objective linear programming method, Tong-Shaocheng Method, Entropy method

Dateibeschreibung: application/pdf

Relation: http://jtmp.innovascience.uz/index.php/journal/article/view/139/100; http://jtmp.innovascience.uz/index.php/journal/article/view/139

Verfügbarkeit: http://jtmp.innovascience.uz/index.php/journal/article/view/139

A Comparison Index for Costs of Interval Linear Programming Models.

Autoren: Guerra, Maria Letizia Sorini, Laerte Stefanini, Luciano

Quelle: Axioms (2075-1680); Aug2025, Vol. 14 Issue 8, p569, 15p

Schlagwörter: LINEAR programming, COST, DECISION making, PROBLEM solving, PRAGMATISM, UNCERTAINTY (Information theory)

Study on Uncertainty Land Use Optimization and Planning in Henan Province. (English)

Autoren: ZHOU Ke

Quelle: Journal of Zhengzhou University: Engineering Science; Feb2025, Vol. 46 Issue 2, p135-142, 8p

Optimum System Design Using Rough Interval Multi-Objective De Novo Programming.

Alternate Title: تصميم نظام أمثل باستخدام الفاصل التقريبي لبرمجة دي نوقو متعددة الأهداف. (Arabic)

Autoren: Hussein, Iftikhar Ali Zaher, Hegazy Saeid, Naglaa Ragaa et al.

Quelle: Baghdad Science Journal; 2024, Vol. 21 Issue 5, p1649-1666, 18p

Schlagwörter: MULTI-objective optimization, SYSTEMS design, RESOURCE allocation, VALUE (Economics), PRICES, LINEAR programming

INTERVAL TYPE-2 FUZZY LINEAR PROGRAMMING PROBLEM WITH VAGUENESS IN THE RESOURCES VECTOR.

Autoren: SARGOLZAEI, SHOKOUH NEHI, H. MISHMAST

Quelle: Journal of Mahani Mathematical Research Center; 2024, Vol. 13 Issue 2, p233-261, 29p

Schlagwörter: FUZZY sets, SOFT sets, VAGUENESS (Philosophy), LINEAR programming, MEMBERSHIP functions (Fuzzy logic), VECTOR analysis, MATHEMATICS

Parametric approach for multi-objective enhanced interval linear fractional programming problem.

Autoren: Patel, Mridul Behera, Jyotirmayee Kumar, Pankaj

Quelle: Engineering Optimization; May2024, Vol. 56 Issue 5, p740-765, 26p

Schlagwörter: FRACTIONAL programming, LINEAR programming, AGRICULTURE, INTERVAL analysis

A study on the solution of interval linear fractional programming problem.

Autoren: Murugan, Yamini Thamaraiselvan, Nirmala

Quelle: Bulletin of Electrical Engineering & Informatics; Apr2024, Vol. 13 Issue 2, p874-884, 11p

Schlagwörter: FRACTIONAL programming, LINEAR programming, INTERVAL analysis, PANTOGRAPH

An algorithm for multi-objective fuzzy linear programming problem with interval type-2 fuzzy numbers and ambiguity in parameters.

Autoren: Nehi, Hassan Mishmast Sargolzaei, Shokouh

Quelle: Journal of Mathematical Modeling (JMM); Mar2024, Vol. 12 Issue 1, p177-197, 21p

Schlagwörter: LINEAR programming, FUZZY numbers, FUZZY algorithms, AMBIGUITY, FUZZY measure theory, SOFT sets

A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects.

Autoren: Li, Xinguang Zhan, Jun Pan, Fuquan et al.

Quelle: Environmental Science & Pollution Research; Nov2023, Vol. 30 Issue 54, p115839-115854, 16p

Schlagwörter: URBAN transportation, CARBON emissions, PUBLIC transit, STRUCTURAL optimization, SUPPLY & demand, PASSENGER traffic

Geografische Kategorien: QINGDAO (China)