The Cost of a Nuclear-Fuel Repository: A Criterion Valuation by Means of Fuzzy Logic

Kunsch, Pierre Louis; Straeten, Mathieu Vander

doi:10.1007/978-3-662-46816-6_11

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Fuzzy logic is currently used in a large number of processes, such as financial analysis software, control of energy management systems, validation of electoral processes, medical instruments and in many other applications (Al Nahyan, Hawas, Aljassmi, & Maraqa, 2018;Djekic, Smigic, Glavan, Miocinovic, & Tomasevic, 2018;Sivamani, Kim, Park, & Cho, 2017). The advantage of the combination of artificial intelligence techniques such as fuzzy logic, neural networks, bacteria fodder and genetic algorithms is that they provide effective solutions in a large number of applications and with a low cost of time and resources (Knight & Fayek, 2002;Kunsch & Vander Straeten, 2015;Kushwaha & Suryakant, 2014;Mujahid & Duffuaa, 2007). Artificial intelligence tools such as Fuzzy Logic have been successfully used in energy and resource management (Bravo Hidalgo, 2015;Bravo Hidalgo & León González, 2018;Hidalgo & Guerra, 2016).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic in Business, Management and Accounting

Hernández¹,

Hidalgo²

2020

OJBM

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The aim of the paper is to show the implementation of fuzzy logic in business, administration and accounting, through the research published in Scopus. The results of the document focus on the following sections: 1) Fuzzy set theory, in business, administration and accounting. 2) Analysis of fuzzy logic bibliometrics in business, administration and accounting. 3) Identification and characterization of the documents or seminal documents most cited in applications of fuzzy logic in business, administration and accounting. The method used in this contribution is documentary research using the Scopus database and the VOSviewer science bibliometric analysis and mapping tool. In the future, this computational practice will focus on new diffuse models and the combination of these with other artificial intelligence techniques such as neural networks, genetic algorism, forage bacteria, among others.

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