A type-2 fuzzy logic system for engineers estimation in the workforce allocation domain

Ferreyra, Emmanuel; Hagras, Hani; Mohamed, Azah; Owusu, Gilbert

doi:10.1109/fuzz-ieee.2017.8015494

Cited by 3 publications

(1 citation statement)

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“…Successful operation relies on an efficient resource (field force) allocation [12]. Therefore, the available workforce fulfils planned positions [13]. This relation is commonly studied under the umbrella of operational workforce planning [14].…”

Section: Overview Of the Goal-driven Simulation Problemmentioning

confidence: 99%

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

Ferreyra

Hagras

Kern

et al. 2018

2018 IEEE Symposium Series on Computational Intelligence (SSCI)

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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 (BB-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.

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Section: Overview Of the Goal-driven Simulation Problemmentioning

confidence: 99%