A Fuzzy Inference System for Management Control Tools

Nicolás, Carolina; Müller, Javiera; Cañada, Francisco Javier Arroyo

doi:10.3390/math9172145

Mathematics

2021

DOI: 10.3390/math9172145

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A Fuzzy Inference System for Management Control Tools

Carolina Nicolás

Javiera Müller

Francisco Javier Arroyo Cañada

Abstract: Despite the importance of the role of small and medium enterprises (SMEs) in developing and growing economies, little is known regarding the use of management control tools in them. In management control in SMEs, a holistic system needs to be modeled to enable a careful study of how each lever (belief systems, boundary systems, interactive control systems, and diagnostic control systems) affects the organizational performance of SMEs. In this article, a fuzzy logic approach is proposed for the decision-making … Show more

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Simultaneous Determination of Estradiol Cypionate and Medroxyprogesterone Acetate Hormones in Injectable Suspension by UV Spectrophotometry Based on Least-Squares Support Vector Machine and Fuzzy Inference System: Comparison with HPLC

Valizadeh,

Ameri Braki,

Smiley

2023

Journal of AOAC International

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Background The combination of estradiol cypionate (ECA) and medroxyprogesterone acetate (MPA) is used to prevent pregnancy in women. The analysis of the ECA and MPA combination reveals a challenge due to the strong overlap of the spectra of these compounds. Objective Spectrophotometry technique along with chemometrics methods are simple, fast, precise, and low-cost for the simultaneous determination of ECA and MPA in a combined pharmaceutical dosage form. Methods Two developed approaches, including the least squares support vector machine (LSSVM) and fuzzy inference system (FIS) along with the spectrophotometric method were proposed to solve such a challenging overlap. Results Based on the cross-validation method, the regularization parameter (γ) and width of the function (σ) in the LSSVM model were optimized and their root mean square error (RMSE) values were found to be 0.3957 and 0.2839 for ECA and MDA, respectively. The mean recovery values were 99.87% and 99.63% for ECA and MDA, respectively. FIS coupled with principal component analysis (PCA) showed the mean recovery percentage equal to 99.05% and 99.50% for ECA and MDA, respectively. Also, the RMSE of both components was lower than 0.3. Conclusion The analysis results of a real sample (injection suspension) using the proposed methods were compared with high-performance liquid chromatography (HPLC) by one-way analysis of variance (ANOVA) test, and no significant differences were found in the results. Highlights Intelligent methods were proposed for the simultaneous determination of ECA and MPA. Least squares support vector machine and fuzzy inference system along with spectrophotometry were used. HPLC as a reference method was performed and compared with chemometrics methods. Rapid, simple, low-cost, and accurate are the benefits of the proposed approaches.

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Simultaneous Determination of Estradiol Cypionate and Medroxyprogesterone Acetate Hormones in Injectable Suspension by UV Spectrophotometry Based on Least-Squares Support Vector Machine and Fuzzy Inference System: Comparison with HPLC

Valizadeh,

Ameri Braki,

Smiley

2023

Journal of AOAC International

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Fuzzy Logic and Soft Computing—Dedicated to the Centenary of the Birth of Lotfi A. Zadeh (1921–2017)

Nădăban

2022

Mathematics

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New hybrid model for nonlinear systems via Takagi-Sugeno fuzzy approach

Ben Mabrouk,

Alanazi,

Bassfar

et al. 2024

MATH

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<p>Mathematical models, especially complex nonlinear systems, are always difficult to analyze and synthesize, and researchers need effective and suitable control methods to address these issues. In the present work, we proposed a hybrid method that combines the well-known Takagi-Sugeno fuzzy model with wavelet decomposition to investigate nonlinear systems characterized by the presence of mixed nonlinearities. Here, one nonlinearity is super-linear and convex, and other is sub-linear, concave, and singular at zero, which leads to difficulties in the analysis, as is known in PDE theory. Linear and polynomial fuzzy models were combined with wavelets to ensure an improvement in both methods for investigating such problems. The results showed a high performance compared with existing methods via error estimates and Lyapunov theory of stability. The model was applied to a prototype nonlinear Schrödinger dynamical system.</p>

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A Fuzzy Inference System for Management Control Tools

Cited by 3 publications

References 34 publications

Simultaneous Determination of Estradiol Cypionate and Medroxyprogesterone Acetate Hormones in Injectable Suspension by UV Spectrophotometry Based on Least-Squares Support Vector Machine and Fuzzy Inference System: Comparison with HPLC

Simultaneous Determination of Estradiol Cypionate and Medroxyprogesterone Acetate Hormones in Injectable Suspension by UV Spectrophotometry Based on Least-Squares Support Vector Machine and Fuzzy Inference System: Comparison with HPLC

Fuzzy Logic and Soft Computing—Dedicated to the Centenary of the Birth of Lotfi A. Zadeh (1921–2017)

New hybrid model for nonlinear systems via Takagi-Sugeno fuzzy approach

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