Logical Platforms for Mobile Application in Decision Support Systems Based on Color Information Processing

Authors

  • Victor Timchenko Admiral Makarov National University of Shipbuilding, Ukraine https://orcid.org/0000-0003-4259-3919
  • Yuriy Kondratenko 2) Petro Mohyla Black Sea National University, Ukraine 3) Institute of Artificial Intelligence Problems of MES and NAS of Ukraine
  • Vladik Kreinovich University of Texas at El Paso, El Paso, Texas, USA

DOI:

https://doi.org/10.13052/jmm1550-4646.2037

Keywords:

Logical coloroid, decision support system, optical logic architecture, color fuzzy information

Abstract

This work is devoted to the creation of mobile applications for a wide class of decision-making problems with large databases based on effective optical logical systems. Such systems use (a) the representation of color as a carrier of logical fuzzy information and (b) the construction of logical decisions by transforming the light emitter with appropriate color filters. Optical processing of fuzzy information is carried out using the proposed block diagram of fuzzy logic gates (logical coloroid). Input data is generated based on expert assessments. The fuzzy database is formed by defining the corresponding color as a quantum (set) of information. The article discusses (a) the main steps in the synthesis of logical inference procedures for decision-making systems and (b) a generalized block diagram of an optical logical coloroid as the basis for creating multi-level mobile decision-making systems with artificial intelligence components. The use of color as a carrier of logical information allows the creation of high-speed mobile devices with convenient visualization.

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Author Biographies

Victor Timchenko, Admiral Makarov National University of Shipbuilding, Ukraine

Victor Timchenko received the master’s degree in Electrical Engineering from Admiral Makarov National University of Shipbuilding in 1982, and the philosophy of doctorate degree in Design of Ships from National University of Shipbuilding named Admiral Makarov in 1988, and of doctor of science degree in Automation Control from Odessa National Polytechnic University in 2013, respectively. He is currently working as an Professor at the Department of Computer Engineering, Automation and Electrical Institute, National University of Shipbuilding. His research areas include robust optimal control systems, optical architecture and computing, and decision support systems.

Yuriy Kondratenko, 2) Petro Mohyla Black Sea National University, Ukraine 3) Institute of Artificial Intelligence Problems of MES and NAS of Ukraine

Yuriy Kondratenko, Doctor of Science, Professor, Honour Inventor of Ukraine (2008), Corr. Academician of Royal Academy of Doctors (Barcelona, Spain), Leading Researcher at the Institute of Artificial Intelligence Problems (IAIP) of MES and NAS of Ukraine, Head of the Department of Intelligent Information Systems at Petro Mohyla Black Sea National University (PMBSNU), Ukraine. He has received (a) the Ph.D. (1983) and Dr.Sc. (1994) in Elements and Devices of Computer and Control Systems from Odessa National Polytechnic University, (b) several international grants and scholarships for conducting research at Institute of Automation of Chongqing University, P.R. China (1988–1989), Ruhr-University Bochum, Germany (2000, 2010), Nazareth College and Cleveland State University, USA (2003), (c) Cleveland State University, USA (2015/2016, Fulbright Program. Research interests include robotics, automation, sensors and control systems, intelligent decision support systems, fuzzy logic.

Vladik Kreinovich, University of Texas at El Paso, El Paso, Texas, USA

Vladik Kreinovich, Professor of Computer Science, University of Texas at El Paso, El Paso, Texas, USA, Vice President of International Fuzzy Systems Association (IFSA) and Vice President of European Society of Fuzzy Logic and Technology (EUSFLAT), AT&T Fellow in Information Technology.

Areas of Interest: interval computations, intelligent control (including fuzzy and neural approaches), reasoning under uncertainty. He is the author of more than 1500 publications.

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Published

2024-05-06

How to Cite

Timchenko, V., Kondratenko, Y., & Kreinovich, V. (2024). Logical Platforms for Mobile Application in Decision Support Systems Based on Color Information Processing. Journal of Mobile Multimedia, 20(03), 679–698. https://doi.org/10.13052/jmm1550-4646.2037

Issue

2024: Vol 20 Iss 3

Section

Control and Decision-making Systems with Mobile Applications

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