Explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance / Tom Rutkowski.
Rutkowski, Tom, author.
2021
HG4515.5 .R88 2021
Available Online

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Title Explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance / Tom Rutkowski.
Author Rutkowski, Tom, author.
ISBN 9783030755218 (electronic bk.)
3030755215 (electronic bk.)
9783030755201
3030755207
DOI https://doi.org/10.1007/978-3-030-75521-8
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (175 pages) : illustrations (some color)
Item Number 10.1007/978-3-030-75521-8 doi
Call Number HG4515.5 .R88 2021
Dewey Decimal Classification 332.640285
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Studies in computational intelligence ; v. 964.
Available in Other Form Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance.
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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.

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