Fuzzy controllers are represented by if-then rules and thus can provide a user friendly and understandable knowledge representation. Evolutionary algorithms have been widely used for optimal design of fuzzy controllers. In this paper, we first present the state-of-art adaptive fuzzy control design using evolutionary algorithms and then attempt to enhance the performance of the simple genetic se...

Although there is evidence that CO2-efficiency enhancing innovations in one country diffuse into other countries to contribute to the goals of climate change mitigation, very little is known about the conditions under which such international spillovers are most likely to take place. Our contribution in the present article seeks to address this gap by examining whether the strength of cross-bor...

BACKGROUND Worksite-based programs to improve workforce health and well-being (Workplace Health Promotion (WHP)) have been advanced as conduits for improved worker productivity and decreased health care costs. There has been a countervailing health economics contention that return on investment (ROI) does not merit preventive health investment. METHODS/PROCEDURES: Pertinent studies were reviewe...

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a nonadditive fuzzy integral technique to evaluate a mutual fund case as a fuzzy multi-criteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as market timing, stock selection ability, fund size and te...

This paper introduces a novel real-time Fuzzy Supervised Learning with Binary Meta-Feature (FSL-BM) for big data classification task. The study of real-time algorithms addresses several major concerns, which are namely: accuracy, memory consumption, and ability to stretch assumptions and time complexity. Attaining a fast computational model providing fuzzy logic and supervised learning is one o...

This paper discusses the use of fuzzy logic and modeling as a decision making support for long-term investment decisions on financial markets. A simple model is proposed to calculate recommendations for the investors. This research required thorough analysis of historical data that lead to discovery of interesting dependencies between the Dow Jones index, currency pairs, oil price and the VIX v...

In this study, we proposed a group decision-making structure model of the facility site selection of multinational enterprises (MNEs) based on fuzzy investment environments. Via the proposed model, the group decision-makers of the MNEs can select the appropriate facility site among the countries. Also, to improve the investment environment, government may apply this model to adjust or improve t...

This paper discusses the use of fuzzy logic and modeling as a decision making support for long-term investment decisions in financial markets. A simple model is proposed to calculate recommendations for investors. This research required thorough analysis of historical data that lead to discovery of interesting dependencies between the Dow Jones index, currency pairs, oil price and the VIX volat...

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...