SINGRAR–A fuzzy distributed expert system to assist command and control activities in naval environment. (English) Zbl 1011.90511

Summary: SINGRAR is a fuzzy Expert System (ES) under development by the Portuguese Navy to assist the command and control related with the Internal Battle (all engineering and damage control activities that ensure high availability of ship’s systems, and support its fighting capabilities).
Initially a decision support system standalone prototype was developed based on a fuzzy approach and on a fuzzy multiple attribute decision making model. Underway is the development of an ES shell, which will allow the parameterisation of the knowledge base in order to accommodate virtually any type of ship. It uses a distributed architecture and has several advantages over the classical manual system, like: instantaneous integration of information compiled at different workstations; automatic and consistent reaction to data changes; increased survivability of compiled information and of decision support capabilities in case of failure; reduction of human resources required; and decrease of total time between fault detection and triggering of the repair process.


90B50 Management decision making, including multiple objectives
03E72 Theory of fuzzy sets, etc.


Full Text: DOI


[1] Bellman, R. E.; Zadeh, L. A., Decision-making in a fuzzy environment, Management Science, 17, 4, 141-164 (1970) · Zbl 0224.90032
[2] Chen, S. J.; Hwang, C.-L., Fuzzy Multiple Attribute Decision Making. Methods and Applications (1992), Springer Verlag
[3] Kandel, A., (Kandel, A., Fuzzy Expert Systems (1992), CRC Press: CRC Press Boca Raton, FL)
[4] Klir, G. J.; Folger, T. A., Fuzzy Sets, Uncertainty, and Information (1988), Prentice Hall: Prentice Hall Englewood Cliffs, NJ · Zbl 0675.94025
[6] Ribeiro, R. A., Fuzzy multiple attribute decision making: A review and new preference elicitation techniques, Fuzzy Sets and Systems, 78, 155-181 (1996) · Zbl 0869.90083
[10] Simões-Marques, M. J.; Ribeiro, R.; Gameiro-Marques, A., A fuzzy decision support system for equipment repair under battle conditions, Fuzzy Sets and Systems, 115, 1, 141-157 (2000)
[11] Turban, E.; Watkins, P., Integrating expert systems and decision I support systems, (Sprague, R. H.; Watson, H. J., DSS Putting Theory into Practice (1986), Prentice-Hall: Prentice-Hall Englewood Cliffs, NJ), 138-152
[12] Zadeh, L. A., Fuzzy sets, Information and Control, 8, 338-353 (1965) · Zbl 0139.24606
[13] Zadeh, L. A., The concept of a linguistic variable and its application to approximate reasoning-part I, Information Sciences, 8, 199-249 (1975) · Zbl 0397.68071
[14] Zadeh, L. A., The concept of a linguistic variable and its application to approximate reasoning-part II, Information Sciences, 8, 301-357 (1975) · Zbl 0404.68074
[15] Zadeh, L. A., The concept of a linguistic variable and its application to approximate reasoning-part III, Information Sciences, 9, 43-80 (1975) · Zbl 0404.68075
[16] Zadeh, L. A., PRUF-a meaning representation language for natural languages, International Journal of Man-Machine Studies, 10, 395-460 (1978) · Zbl 0406.68063
[17] Zadeh, L. A., Linguistic variables, approximate reasoning and dispositions, Medical Informatics, 8, 3, 173-186 (1983)
[18] Zadeh, L. A., A computational approach to fuzzy quantifiers in natural languages, (Zadeh, L. A.; Yager, R. R.; Ovchimnikov, S.; Tong, R. M.; Nguyen, H. T., Fuzzy Sets and Applications: Selected Papers (1987), Wiley: Wiley New York), 569-607
[19] Zadeh, L. A., Fuzzy Logic=Computing with words, IEEE Transactions on Fuzzy Systems, 4, 2, 103-111 (1996)
[20] Zimmermann, H.-J., Fuzzy Set Theory and Its applications (1996), Kluwer Academic Publishers: Kluwer Academic Publishers Dordrecht · Zbl 0845.04006
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.