Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance

Tom Rutkowski (Autor)

Buch | Softcover

XIX, 167 Seiten

2022 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-75523-2 (ISBN)

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The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations.

The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.

Introduction.- Neuro-Fuzzy Approach and its Application in Recommender Systems.- Novel Explainable Recommenders Based on Neuro-Fuzzy.- Explainable Recommender for Investment Advisers.- Summary and Final Remarks.

Erscheinungsdatum	13.06.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XIX, 167 p. 118 illus., 72 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	296 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Computational Intelligence • Explainable Artificial Intelligence • Explainable recommenders • Finance Applications • Neuro-Fuzzy Modeling • Stock Market Applications
ISBN-10	3-030-75523-1 / 3030755231
ISBN-13	978-3-030-75523-2 / 9783030755232
Zustand	Neuware