Intelligent Techniques in Decision Making: A Survey

Technology, Science and Culture - A Global Vision

“…Such techniques are now used widely, independently, and together in intelligent systems to support better and quicker decision-making. Some of the most common categories of intelligent methods include expert systems, artificial neural networks, fuzzy set systems, rough set theory, and evolutionary computing [29,30]. These are briefly summarized in Table 5.…”

“…Bacteriocins are considered to possess antibacterial activity against a broad spectrum of bacteria, making them nonspecific and considered safe and natural antimicrobial agents because of their consumption in dairy products since ancient times [29]. In other words, bacteria considered beneficial to human produce bacteriocins.…”

“…The ANN typically consists of a number of interconnected processors, the artificial neurons, which receive inputs similar to the electrochemical impulses that biological neurons receive from other neurons and sends similar outputs to other neurons [32] Fuzzy set systems Fuzzy systems represent an extension of traditional expert system techniques as they leverage mathematical theory of fuzzy sets in order to deal with the typical real-world uncertainty and simulate the normal (and less precise) human reasoning [32] Rough set theory Computing systems based on rough set theory implement a purely mathematical approach to deal with uncertainty and imperfect knowledge. The key advantage of this type of systems is that they do not need any prior or further information about data [29] Rough set theory is mostly used for enabling automated classifiers and for attribute selection [33] Evolutionary computing…”

“…Evolutionary computing algorithms, also known as genetic algorithms, are designed to deal with randomness, nonlinear, and multidimensional functions [29] Genetic algorithms tend to provide satisfactory results for very complex task; therefore, they represent a valuable alternative when suboptimal results are acceptable [30] advanced functionalities into sensors but also drive down costs, thereby increasing adoption and proliferation of sensors [36]. Similarly, nanotechnology is contributing to the development of electrochemical, optical, and magnetic resonance biosensors that are transforming our understanding of biology and treatment of disease including novel drug discovery for this purpose [37,38].…”

ARCog: An Aerial Robotics Cognitive Architecture

“…The usual methods for autonomous decision-making are related to systems limited to extensive training over a big set of data, which means that current techniques are very far from presenting general intelligence to operate a broader range of topics. 31 In this work, the CBR is applied, based on the built scene, through sensory data, image recognition, automata organization, and by the last-taken decisions; that is, this layer executes the CBR algorithm each time a new completed scene is saved in the database. The main CBR's functionalities are to evaluate the scene and to make decisions about the scene objects and actors related to the mission objectives.…”