Results 231 to 240 of about 397,584 (291)

A preemptive goal programming for multi‐objective cooperative games: an application to multi‐objective linear production

International Transactions in Operational Research, 2022
AbstractThe aim of this study is to investigate the fair allocation of multi‐objective cooperative games (MOCGs) using a preemptive goal programming (PGP). First, this research establishes the PGP model, where the priority factors of PGP describe the importance degrees of different objectives in MOCGs, the positive and negative deviations of PGP ...
Jiangxia Nan   +3 more
openaire   +2 more sources

An Intuitionistic Fuzzy Multi-Objective Goal Programming Approach to Portfolio Selection

International Journal of Information Technology & Decision Making, 2021
Portfolio 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
openaire   +1 more source

A goal programming approach for multi-objective warranty optimization

International Journal of System Assurance Engineering and Management, 2017
Due 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
openaire   +1 more source

Support Vector Regression Based on Goal Programming and Multi-objective Programming

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
Support 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
openaire   +1 more source

Interactive fuzzy goal programming for multi-objective transportation problems

Omega, 2006
This paper presents an interactive fuzzy goal programming approach to determine the preferred compromise solution for the multi-objective transportation problem. The proposed approach considers the imprecise nature of the input data by implementing the minimum operator and also assumes that each objective function has a fuzzy goal. The approach focuses
Sang M Lee
exaly   +2 more sources

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