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A genetic interval type-2 fuzzy logic based approach for operational resource planning

Mohamed, Ahmed and Hagras, Hani and Liret, Anne and Shakya, Sid and Owusu, Gilbert (2013) A genetic interval type-2 fuzzy logic based approach for operational resource planning. In: 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013-07-07 - 2013-07-10.

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Abstract

Within service providing industries, one of the challenges facing resource planners is to match the demand for services by trying to utilize the available resources as best as possible. The problem faced by the operational resource planner is to build a refined plan of tasks to resources for each day in a manner that the plan can be directly dispatched to the distributed available engineering field force. In this paper, we will introduce a genetic hierarchical interval type-2 fuzzy logic based operational planner. We will present experiments which will show that the proposed system is able to produce more efficient plans when compared to the traditional crisp logic based algorithms which employ hill climbing heuristic based search techniques. We will show also that the proposed system outperforms the type-1 fuzzy logic based counterparts. © 2013 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: IEEE International Conference on Fuzzy Systems
Uncontrolled Keywords: type-2 fuzzy logic systems; hierarchical fuzzy logic systems; operational resource planning; service providers
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 08 Jan 2015 16:37
Last Modified: 15 Jan 2022 00:27
URI: http://repository.essex.ac.uk/id/eprint/12211

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