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An Intuitionistic Fuzzy Multi-Objective Goal Programming Approach to Portfolio Selection
International Journal of Information Technology & Decision Making, 2021Portfolio selection can be regarded as a type of multi-objective decision problem. However, traditional solution methods rarely discussed the decision maker’s nonsatisfaction and hesitation degrees with regard to multiple objectives and they require many extra binary variables, which lead to tedious computational burden. Based on the above, the aim of
Gao-Feng Yu +3 more
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METODE RELAXED NORMALIZED GOAL PROGRAMMING PADA PROGRAM LINIER MULTI-OBJECTIVE [PDF]
, 2018 Pemrograman linier merupakan alat untuk menyelesaikan masalah optimasi dengan bantuan data yang telah ada yaitu berupa fungsi kendala dan nilai Right Hand Side (RHS) untuk mencapai suatu tujuan dimana fungsi tersebut berbentuk linier. Program linier dengan fungsi tujuan lebih dari satu disebut multi-objective.
AYUNDA WULANSARI, .
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Fuzzy multi-choice goal programming [PDF]
Applied Mathematical Modelling, 2012 Goal programming as a well known technique has been widely used for solving multi objective decision making problems. However, in some practical cases, there may exist situations where the decision maker is interested in setting multi aspiration levels ...
Kamran Shahanaghi
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A goal programming approach for multi-objective warranty optimization
International Journal of System Assurance Engineering and Management, 2017Due to severe competition in the market, a manufacturer may need to redesign the product warranty so as to get an edge over the competitors. However, to be able to do that, a systematic approach is required that allows one to consider multiple objectives.
Prashant M. Ambad, Makarand S. Kulkarni
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Fuzzy Goal Programming Technique for Multi-Objective Optimisation Problem [PDF]
, 2023 International audienceMulti-objective optimization is a natural extension of the traditional optimization of a single-objective function. Many current problems are multi-objective in nature and their solution requires taking into account conflicting ...
Azzabi Lotfi +2 more
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Support Vector Regression Based on Goal Programming and Multi-objective Programming
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006Support vector machine (SVM) is gaining much popularity as a powerful machine learning technique. SVM was originally developed for pattern classification and later extended to regression. One of main features of SVM is that it generalizes the maximal margin linear classifiers into high dimensional feature spaces through nonlinear mappings defined ...
Hirotaka Nakayama, Yeboon Yun
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Multi-Objective Programming and Goal Programming
2003This book gives the reader an insight into the state of the art in the field of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trends in this fields of research .
Tetsuzo Tanino +2 more
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Support vector machines using multi objective programming and goal programming
Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2004Support vector machines (SVMs) are now thought as a powerful method for solving pattern recognition problems. SVMs are usually formulated as quadratic programming. Using another distance function, SVMs are formulated as linear programming. SVMs generally tend to make overlearning.
H. Nakayama, T. Asada
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On the fuzzy multi-objective linear programming problem: Goal programming approach
Fuzzy Sets and Systems, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A fuzzy goal programming approach to multi-objective optimization problem with priorities
European Journal of Operational Research, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao-Fang Hu +2 more
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