Journal of Intelligent & Fuzzy Systems - Volume 38, issue 5

Authors: López-Guauque, Jaime Alexander | Gil-Lafuente, Anna María

Article Type: Research Article

Abstract: This paper presents a general overview and a long-term comparison in fuzzy logic research published between 1965 and 2017, obtained via Web of Science. The paper analyzes the growth, impact, trends and regional localization of fuzzy research. Conventional, sophisticated among others bibliometric indicators have applies. It aggregates the information according to different levels and criteria including researchers, publications, institutions, or countries. A global perspective have been provided through comparisons of regional aggregates and compound annual growth rates that strengthen the indicators applied in this article. The results permit to visualize the influence, importance, evolution and performance of the fuzzy research …as well its contribution to, and transversality with other fields. The findings show that China continues to be a leader in number of contributions. There has been a recent relative decline in the United States contributions overall. Asian and African contributions to scientific literature have grown noticeably. The results also provide a framework for the use of indicators adjusted to specific contexts and relevant information for future research. Show more

Keywords: Fuzzy logic, bibliometrics, scientometrics, web of science, research indicators, H-index, CAGR

DOI: 10.3233/JIFS-179634

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5413-5425, 2020

Authors: Amirbagheri, Keivan | Merigó, José M. | Guitart-Tarrés, Laura | Nuñez-Carballosa, Ana

Article Type: Research Article

Abstract:  This study proposes, through weighted averages and ordered weighted averaging operators, a new aggregation system for the investigation of average gases emissions. We present the ordered weighted averaging operators gases emissions, the induced ordered weighted averaging operators gases emissions, the weighted ordered weighted averaging operators gases emissions and the induced probabilistic weighted ordered weighted averaging operators gases emissions. These operators represent a new way of analyzing the average gases emissions of different variables like countries or regions. The work presents further generalizations by using generalized and quasi-arithmetic means. The article also presents an illustrative example with respect to the calculations …of the average gases emissions in the European region. Show more

Keywords: Green-house gases emission, aggregation operators, decision making, ordered weighted average

DOI: 10.3233/JIFS-179635

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5427-5439, 2020

Authors: Zurita, Gustavo | Merigó, José M. | Lobos-Ossandón, Valeria | Mulet-Forteza, Carles

Article Type: Research Article

Abstract:  Computer Science degrees are very popular currently among institutions worldwide. The proliferation of these programs in different universities has led to the creation of rankings for classifying programs according to their prestige and quality. However, these rankings do not specify the quality of research. This study develops a bibliometric overview of all the journals that are currently indexed in the Web of Science (WoS) database in any of the seven categories connected to Computer Science research. These categories include Artificial Intelligence, Cybernetics, Hardware and Architecture, Information Systems, Interdisciplinary Applications, Software Engineering and Theory and Methods. This study aims to identify …the leading institutions over the last 25 years (1991–2015) in each area selected according to a wide range of bibliometric indicators. The results indicate that American universities are the most influential in Computer Science research. This study concludes that Computer Science traverses many institutions. Show more

Keywords: Computer science, bibliometrics, institutions, web of science, citations, ranking

DOI: 10.3233/JIFS-179636

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5441-5453, 2020

Authors: Otero-González, L. | Ibragimova, D. | Cunil, O. Martorell | Rodríguez Gil, L.I.

Article Type: Research Article

Abstract:  The study analyses the effectiveness of the Early Warning System (EWS) for forecasting bank defaults during the recent financial crisis based on Moody’s KMV Expected Default Frequency (EDF) measure and accounting ratios using a sample of European listed banks. The Bank Financial Strength ratings D + and below are used as a bank default indicator. Independent variables include 1-year and 5-year EDFs, one for the adverse selection effect and another for accounting ratios. Our results show that EDF metrics combined with four CAMEL covariates and the variable capturing adverse selection are able to predict the defaults of European banks up …to 8 quarters before an event. When comparing the model with another only including the EDF indicator, the statistical significance improves considerably, suggesting that added variables provide additional information and power to the model. This study proposes possible improvements to the EWS which could be useful to identify inputs to incorporate in intelligent models. Show more

Keywords: Early warning systems, CAMEL models, distance to default, expected default frequency, banks

DOI: 10.3233/JIFS-179637

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5455-5462, 2020

Authors: Cancino, Christian A. | Guimón, José | Salazar-Elena, Juan C. | La Paz, Ariel I.

Article Type: Research Article

Abstract:  In the last few decades, the number of academic articles focused on digital business has grown exponentially. The aim of this study is to present the evolution of academic research in digital business between 1990 and 2015. The analysis concentrates on identifying the most productive and influential journals in this field of research, as well as the leading authors. The results show a strong increase in digital business research during that period due to the development of an important number of specialized information systems journals, but also with publications in several disciplines of the management field. The latter reflects the …multidisciplinary nature of this field of research, including not only studies with a focus on management information systems, but also on strategy, marketing, operations and more. Show more

Keywords: Digital Business, information systems and technologies, bibliometrics, web of science

DOI: 10.3233/JIFS-179638

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5463-5474, 2020

Authors: Vicedo, Pau | Gil-Gómez, Hermenegildo | Oltra-Badenes, Raúl | Guerola-Navarro, Vicente

Article Type: Research Article

Abstract:  This work conducts bibliometric research into publications during the period 1999 to early 2018. The aim of this study is to help gain a better understanding of the publications covering CSF and ERP implementations all over the world. The study includes the most cited articles, most cited authors and most influential institutions as well as the most prolific countries. A database of 301 articles from 86 different institutions and 48 countries has been documented and analyzed. The results indicate that this field is growing significantly over time and a small number of US institutions are currently the most productive in …this field. Show more

Keywords: CSF, ERP, bibliometrics, Web of Science

DOI: 10.3233/JIFS-179639

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5475-5487, 2020

Authors: Barberà-Mariné, M. Glòria | Fabregat-Aibar, Laura | Sorrosal-Forradellas, M. Teresa | Terceño, Antonio

Article Type: Research Article

Abstract: The main purpose of this article is to analyze the survival capacity of mutual funds based on their characteristics. The methodology used to meet this objective is Self-Organizing Maps (SOM), a type of Artificial Neural Network that allows patterns to be grouped together according to their similarity, enabling us to classify mutual funds into surviving funds and disappeared funds. We consider the following variables: age, size, investment flows, performance, volatility, and Morningstar rating. We use a sample of 1,617 Spanish mutual funds, of which 943 had disappeared between 2004 and 2016. The results obtained indicate that SOM accurately classifies 80% …of mutual funds. Therefore, SOMs are effective instruments for classifying the disappearance of Spanish mutual funds and the variables used to define them can explain their survival capacity. Show more

Keywords: Mutual funds, self-organizing maps, spanish market, survival capacity, surviving funds, disappeared funds

DOI: 10.3233/JIFS-179640

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5489-5495, 2020

Authors: Pesantez-Narvaez, Jessica | Guillen, Montserrat

Article Type: Research Article

Abstract: Logistic regression as a modelling technique of rare binary dependent variables with much fewer events (ones) than non-events (zeros) tends to underestimate their probability of occurrence. The vast literature devoted to the prediction of rare binary data identifies several ways to improve predictive performance by making modifications to the likelihood estimation. We propose two weighting mechanisms for incorporation in a pseudo-likelihood estimation that improve the predictive capacity of rare binary responses in data collected in complex surveys. We multiply sampling weights by specific correctors that lead to lower root mean square errors for event observations in almost all deciles. A …case study is discussed where this method is implemented to predict the probability of suffering a workplace accident in a logistic regression model that is estimated with data from a survey conducted in Ecuador. Show more

Keywords: Survey data, sampling design, uncommon events, weighting, pseudo-likelihood

DOI: 10.3233/JIFS-179641

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5497-5507, 2020

Authors: Flores-Sosa, Martha | Avilés-Ochoa, Ezequiel | Merigó, José M.

Article Type: Research Article

Abstract: The induced ordered weighted average (IOWA) is an aggregation operator that provides a parameterized family of operators between the minimum and the maximum. This work presents a new application that uses the simple linear regression (LR) and the IOWA operator in the same formulation. We study some of its main properties and particular cases. The main advantage of the linear regression IOWA operator is that it unifies the IOWA operator with the linear regression in the same formulation considering the degree of optimism and pessimism of the decision maker. Thus, we can under- or over- estimate the regression according to …complex attitudes that the decision may have in the analysis. The work ends analyzing the applicability of this new approach in a problem regarding exchange rate forecasting. The objective of the new approach is to analyze the information in a more complete way. Show more

Keywords: IOWA operator, linear regression, aggregation operator

DOI: 10.3233/JIFS-179642

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5509-5520, 2020

Authors: Salazar-Elena, Juan Carlos | López, Asunción | Guimón de Ros, José | Cancino, Christian A.

Article Type: Research Article

Abstract: Since the pioneering work of David J. Teece (“Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy”, Research Policy 15, 1986), the concept of “appropriability regime” – defined as the level of threat stemming from potential imitators in the firm’s environment– has been useful in describing specific sectoral patterns at the aggregate level. However, there have been few attempts to formally prove the impact of different regimes on knowledge management strategies at the firm-level. Using firm-level longitudinal data from software and hardware sectors in Spain, we show that differences in appropriability regimes condition the profitability of open …innovation strategies, and also induce specific patterns in firms’ knowledge management strategies. More specifically, we show that the appearance of diminishing returns from an open innovation strategy is more accelerated in firms immersed in weaker regimes (i.e. firms facing more threats from potential imitators). We also show that this is due to the fact that such firms must resort to more complex (and costly) practices that go far beyond the legal protection of intellectual property, internalizing other management practices related to productive capacity and the commercialization of innovations. Show more

Keywords: Innovation, knowledge management, appropriability regime, imitation threat

DOI: 10.3233/JIFS-179643

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5521-5528, 2020