expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

Research on automated essay scoring has become increasing important because it serves as a method for evaluating students' written-responses at scale. Scalable methods written responses are needed students migrate to online learning environments resulting in the need evaluate large numbers of written-response assessments. The purpose this study is describe and three active than can be used mini...

Purpose This paper aims to present a literature review of the most recent optimisation methods applied Credit Scoring Models (CSMs). Design/methodology/approach The research methodology employed technical procedures based on bibliographic and exploratory analyses. A traditional investigation was carried out using Scopus, ScienceDirect Web Science databases. papers selection classification took ...