A combined approach for fuzzy multi-objective multiple knapsack problems for defence project selection-Reference-Cited by-同舟云学术

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A combined approach for fuzzy multi-objective multiple knapsack problems for defence project selection

Published:2014-07 Issue:7 Volume:65 Page:1001-1016
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Bakirli B B¹,Gencer C²,Aydoğan E K³

Affiliation:

1. Department of Operations Research, Turkish Air Force HQ Operations Division Ankara Turkey

2. Department of Industrial EngineeringFaculty of Engineering, Gazi University Ankara Turkey

3. Department of Industrial EngineeringFaculty of Engineering, Erciyes University Kayseri Turkey

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

http://link.springer.com/content/pdf/10.1057/jors.2013.36.pdf

Reference33 articles.

1. A multicriteria decision making model for reverse logistics using analytical hierarchy process

2. Surrogate relaxation of a fuzzy multidimensional 0–1 knapsack model by surrogate constraint normalization rules and a methodology for multi-attribute project portfolio selection

3. Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment

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1. A New Method for Integrating Multiple Criteria Decision Making Methods’ Results: Application for Selection of Alternatives and Defense Industry Project Selection;2024

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3. Multi-criteria mapping and prioritization of Arctic and North Atlantic maritime safety and security needs;European Journal of Operational Research;2023-06

4. A 0–1 knapsack problem-based approach for solving open-pit mining problem with type-2 fuzzy parameters;Innovations in Systems and Software Engineering;2022-11-19

5. Solving a Mathematical Model for Small Vegetable Sellers in India by a Stochastic Knapsack Problem: An Advanced Genetic Algorithm Based Approach;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2022-10

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