Fuzzy logic approach applied to credit scoring for microfinance in Morocco

Bennouna, Ghita; Tkiouat, Mohamed

doi:10.1016/j.procs.2018.01.123

Cited by 17 publications

(7 citation statements)

References 1 publication

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“…In comprehensive evaluation of borrower satisfaction, employing a system comprised of multiple individual indicators that can be viewed as a comprehensive approach which is highly recommended [52]. The study intends to make use of Fuzzy logic is used because it ensures the accuracy, viability, and sustainability [55] of Borrower satisfaction evaluations with microfinance by incorporating expert opinion [55]. Borrower satisfaction is associated with multiple quantitative and qualitative factor whose evaluation needed several steps and phases.…”

Section: Fuzzy Comprehensive Evaluation Systemmentioning

confidence: 99%

Borrowers satisfaction evaluation from Microfinance institution by Using FCEM

Yunxian

Hassan

Iqbal

et al. 2022

Preprint

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Boundless researchers have made efforts to assess the impact of Microfinance on poverty reduction both positively and negatively, but the perception of borrowers about the effectiveness of Microfinance has not been yet found. This study adopts the Fuzzy Comprehensive Evaluation Method (FCEM) in conjunction with the Analytical Hierarchy Process (AHP) to evaluate the level of satisfaction of borrowers with the products and services of microfinance institutions at different criterion levels. The goal is to assess the level of satisfaction for each criterion level under the degree of satisfaction of the borrower about the product and services provided by Microfinance Institution (MFI). Findings show that the claim of MFI was false because study evidence makes it clear that borrowers are not satisfied with the product and services of MFI. In addition to the literature, this study also highlighted the weakness of the MFI product and services. Thus, both the government and the MFIs can improve their performance and change their policies for the welfare of the borrowers.

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Section: Fuzzy Comprehensive Evaluation Systemmentioning

confidence: 99%

Borrowers satisfaction evaluation from Microfinance institution by Using FCEM

Yunxian

Hassan

Iqbal

et al. 2022

Preprint

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“…Customer segmentation is another marketing field that has witnessed the significant application of fuzzy logic [12]. The marketing mix, pricing, and strategy are another prominent area of fuzzy applications in marketing science [13,14,15,16]. In all these applications, marketers have seen an increase in the gathering of marketing analysis because of the use of fuzzy logic in several aspects of marketing science.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Expert Pricing Systems and Optimization Techniques in Marketing Science

Dairo¹,

Szűcs²

2020

Fuzzy Systems and Data Mining VI

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Despite the advancement in the mathematical models for solving and modeling marketing problems, there exists gap between model predictions and market reality. Fuzzy logic bridges this gap by providing marketers with the opportunity of combining robust human experts in the form of linguistic rules to formulate a knowledge-base. These rules are systematically developed into a marketing tool which provides intelligent pricing decision support for marketers in a dynamic and competitive environment. In this paper, these expert pricing systems which are designed and developed to help businesses in pricing decision-making are examined. Price-Strat, FuzzyPrice, and exPrice expert pricing systems are compared and discussed. These three expert pricing systems are explored along with their fuzzy development approach, effectiveness, and attributes in pricing products and services.

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“…Finally, focusing on the analyses of banks, the existing literature shows that the introduction of AI techniques represents a breakthrough in the analysis of several areas, such as risk management. Using big data to increase banks' knowledge of their customers, to provide loans according to certain credit scores, to measure their efficiency, to use advanced computational systems to balance their ALCO portfolios and to optimize the capital structure and liquidity and funding needs, banks have come to rely heavily on these advanced methodologies [77][78][79][80][81][82]. The growing importance of fuzzy logic in this type of analysis is demonstrated by the finding that approximately 20% of the portfolios focused on corporate finance are concerned with bank analysis.…”

Section: Systematic Analysismentioning

confidence: 99%

Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises

2019

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The major success of fuzzy logic in the field of remote control opened the door to its application in many other fields, including finance. However, there has not been an updated and comprehensive literature review on the uses of fuzzy logic in the financial field. For that reason, this study attempts to critically examine fuzzy logic as an effective, useful method to be applied to financial research and, particularly, to the management of banking crises. The data sources were Web of Science and Scopus, followed by an assessment of the records according to pre-established criteria and an arrangement of the information in two main axes: financial markets and corporate finance. A major finding of this analysis is that fuzzy logic has not yet been used to address banking crises or as an alternative to ensure the resolvability of banks while minimizing the impact on the real economy. Therefore, we consider this article relevant for supervisory and regulatory bodies, as well as for banks and academic researchers, since it opens the door to several new research axes on banking crisis analyses using artificial intelligence techniques.

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Fuzzy logic approach applied to credit scoring for microfinance in Morocco

Cited by 17 publications

References 1 publication

Borrowers satisfaction evaluation from Microfinance institution by Using FCEM

Borrowers satisfaction evaluation from Microfinance institution by Using FCEM

Fuzzy Expert Pricing Systems and Optimization Techniques in Marketing Science

Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises

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