A fuzzy polynomial fitting and mathematical programming approach for enhancing the accuracy and precision of productivity forecasting

Volume: 25, Issue: 2, Pages: 85 - 107
Published: Dec 10, 2018
Abstract
Forecasting future productivity is a critical task to every organization. However, the existing methods for productivity forecasting have two problems. First, the logarithmic or log-sigmoid value, rather than the original value, of productivity is dealt with. Second, the objective functions are not consistent with those adopted in practice. To address these problems, a fuzzy polynomial fitting and mathematical programming (FPF-MP) approach are...
Paper Details
Title
A fuzzy polynomial fitting and mathematical programming approach for enhancing the accuracy and precision of productivity forecasting
Published Date
Dec 10, 2018
Volume
25
Issue
2
Pages
85 - 107
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