Unified knowledge economy competitiveness index using fuzzy clustering model

Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies

“…In Shami (2011) a system was developed that could predict a country's KEI using, among other data, three other indices that measure the country's knowledge economy (developed by the World Economic Forum, the International Institute for Management Development, and the International Telecommunication Union, respectively). While predicting one index from others is an interesting problem, it does not solve the common problem in emerging and developing countries where often many data needed to calculate any index is missing; in these contexts, calculating KEI from three other different indices may even be counterproductive, since it is more likely that data is missing for the calculation of the three indices than for the calculation of a single one.…”

“…Our brief literature review below shows that applications of artificial Neural Networks (NNs) and Deep Learning Neural Networks (DLNNs) in economics are scarce, but they have provided useful insights where they were used. To the best our knowledge, there are two papers closely related to ours (Al Shami, 2011;Kuhlman, et al 2017)). Both empirical studies of NNs falls within the paradigm of unsupervised learning, while the proposal in this article falls within the paradigm of supervised learning.…”

An Intelligent Decision Support System Using Adaptive NetworkBased Fuzzy Inference System (ANFIS) For Choosing Suitable Bank Loan Installments

“…If fuzzy grouping is employed, it is possible to come up with a combined economic knowledge by developing a competition catalogue that utilizes four main parameters [6]. This combination of global economic awareness pointers offer the general information of a specific economy, which influence decisions to be made by local and foreign investors.…”

“…Adaptive Neural Fuzzy Inference System was utilized to constitute regulations that curve out a subordinate replica that establish how additional catalogs contribute to the resulting constitution of awareness pointers. An original "Unified Knowledge competitiveness and Progress Indicator" (UKPI) is developed from the cumulative catalogs making a comprehensive catalog that depicts general speed of competitive awareness and resulting improvements in a given region [6,7]. Edit J. Kaminsky; Holly Danker-McDermot and Freddie Douglas III [8] have published a chapter appears in the book, Computational Economics: A Perspective from Computational Intelligence discusses artificial computational intelligence methods as applied to cost prediction.…”