An Integrated FCEM-AHP Approach for Borrower’s Satisfaction and Perception Analysis of Microfinance Institution

Hassan, Munawar; Iqbal, Shafqat; Garg, Harish; Hassan, Shahbaz Gul; Yunxian, Yan

doi:10.32604/cmes.2022.021385

Cited by 3 publications

(1 citation statement)

References 59 publications

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“…The FCE [8] methodology employs fuzzy mathematics in order to thoroughly evaluate a wide range of criteria that pose challenges in terms of quantitative assessment. In their study, Hassan et al [9] utilised a Fuzzy Analytic Hierarchy Process (FAHP) methodology to evaluate the level of satisfaction among borrowers. Nevertheless, their methodology exclusively facilitates a thorough fuzzy assessment, without immediately offering a quantitative depiction of the level of health of the item.…”

Section: Introductionmentioning

confidence: 99%

Research on Condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

Qian,

Wang,

Wang

et al. 2024

CMES

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This study presents a proposed method for assessing the condition and predicting the future status of condensers operating in seawater over an extended period. The aim is to address the problems of scaling and corrosion, which lead to increased loss of cold resources. The method involves utilising a set of multivariate feature parameters associated with the condenser as input for evaluation and trend prediction. This methodology offers a precise means of determining the optimal timing for condenser cleaning, with the ultimate goal of improving its overall performance. The proposed approach involves the integration of the analytic network process with subjective expert experience and the entropy weight method with objective big data analysis to develop a fusion health degree model. The mathematical model is constructed quantitatively using the improved Mahalanobis distance. Furthermore, a comprehensive prediction model is developed by integrating the improved Informer model and Markov error correction. This model takes into account the health status of the equipment and several influencing factors, including multivariate feature characteristics. This model facilitates the objective examination and prediction of the progression of equipment deterioration trends. The present study involves the computation and verification of the field time series data, which serves to demonstrate the accuracy of the condenser health-related models proposed in this research. These models effectively depict the real condition and temporal variations of the equipment, thus offering a valuable method for determining the precise cleaning time required for the condenser.

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Section: Introductionmentioning

confidence: 99%

Research on Condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

Qian,

Wang,

Wang

et al. 2024

CMES

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Optimize the energy storage system with an artificial intelligence-based control strategy

Zhang,

Wang,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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Currently, energy storage systems adopt control strategies based on the crossover approach despite their limited generalization performance. To improve the control effect of the control strategy, the limitation of the SOC of the energy storage element is added. This adds smoothness to the system’s output power, enabling the energy storage element to distribute the power reasonably. Meanwhile, we propose and introduce a DPI control strategy based on PSO optimization into the control strategy of the second-order low-pass filtering method, thereby further enhancing and optimizing the original control strategy. Taking the investment cost of the energy storage system and the stable operation of the system as the objective functions, the constraint function is determined according to the parameters, the PSO algorithm is used to construct a two-layer optimization model of the energy storage system, and the FCEM is introduced to determine the objective weights. Based on the constructed model, an arithmetic example analysis of the energy storage system is carried out using artificial intelligence. Under the steady-state analysis of Buck mode, the low voltage side voltage adjustment time based on the PID control strategy is about 0.108s, and the low voltage side voltage adjustment time based on PSOPID is 0.032s, which is reduced by 0.070s compared with the PID control strategy. Also, when optimizing a system that generates electricity from renewable sources on its own, the two goals of minimizing the investment in the energy storage system and making sure it runs smoothly are met when the system’s fixed power is equal to 6.58 MW and its capacity is less than 267 MWh.

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Behind the Barriers

Mahapatra,

Lenka

2024

Advances in Business Information Systems and Analytics

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Agricultural credit provision plays a vital role for farmers, producers, and business entrepreneurs giving them access to the funds for multiple purposes. The research culminates in the development of a conceptual model that outlines the multifaceted challenges confronted by the Indian agricultural industry while accessing the credit for their sustainable development. In the present study, thorough analysis has been done with the help of AHP technique to find out the identified key challenges which hinders the establishment and growth of agri-business activities in rural sector of India. This document will be helpful to the small agri-businessmen, rural agri-entrepreneurs, and producers while getting credit facility by the banks and other financial institutions. It will also be helpful to government and policy makers to overcome these challenges, so that proper coordination among financial markets, agri-entrepreneurs, and government will be established. It would further influence and encourage the investors to invest in agri projects on a massive scale in future.

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An Integrated FCEM-AHP Approach for Borrower’s Satisfaction and Perception Analysis of Microfinance Institution

Cited by 3 publications

References 59 publications

Research on Condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

Research on Condenser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

Optimize the energy storage system with an artificial intelligence-based control strategy

Behind the Barriers

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