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Enabling Field Force Operational Sustainability: A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Goal-Driven Simulation

Ferreyra, Emmanuel and Hagras, Hani and Kern, Mathias and Owusu, Gilbert (2019) Enabling Field Force Operational Sustainability: A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Goal-Driven Simulation. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018-11-18 - 2018-11-21, Bangalore, India.

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Abstract

Business operational sustainability must allow creating economic value, building healthy ecosystems and developing strong communities. Hence, there is a need to develop solutions which can safeguard companies' business sustainability. Various solutions could have different costs and deliver different benefits. Therefore, there is a need to evaluate these solutions before being implemented. In reality, companies require achieving certain targets according to their plans and strategies. Goal-Driven Simulation (GDS) is an approach that allows evaluating solutions before implementing them in real-life while focusing on achieving desired targets. This paper presents a GDS based on interval type-2 Fuzzy Logic System (IT2FLS) optimized by the big bang-big crunch (BU-BC) algorithm with application to field force allocation within the telecommunications sector. The obtained results show the suitability of the proposed approach to model unexpected factors to protect the business sustainability in the telecommunications industry field force allocation domain.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2018 IEEE Symposium Series on Computational Intelligence (SSCI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 22 Mar 2019 16:09
Last Modified: 22 Mar 2019 16:09
URI: http://repository.essex.ac.uk/id/eprint/24245

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