Skip to main content
Log in

A pilot prototype decision support system for recognition of Greek forest species

  • Original Paper
  • Published:
Operational Research Aims and scope Submit manuscript

Abstract

Expert Systems constitute a part of the broader field of Artificial Intelligence. There are applications which aim in the encasement of knowledge of an expert, in a certain area of science, in a computer application. Thus it is possible for the further use of the experts’ knowledge even by people who cannot directly communicate with an expert. In the field of environmental sciences expert systems were created for dealing with various problems. The purpose of this paper is the development of an expert system which would be able to identify wood produced by Greek forest species. The system will be available for wood industry professionals, for students as a support tool in the education process, and for anyone interested in wood identification.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Despres S, Rosenthal-Sabroux C (1992) Designing decision support systems and expert systems with a better end-use involvement: a promising approach. Eur J Oper Res 61:145–153

    Article  Google Scholar 

  • Duchessi P, O’Keefe RM (1992) Contrasting successful and unsuccessful expert systems. Eur J Oper Res 61:122–134

    Article  Google Scholar 

  • Durkin J (1993) Expert systems: catalog of applications. Intelligent Computer Systems, Inc., Akron, OH

    Google Scholar 

  • Edwards JS (1992) Expert systems in management and administration—are they really different from decision support systems. Eur J Oper Res 61:114–121

    Article  Google Scholar 

  • Ellis EA, Bentrup G, Schoeneberger MM (2004) Computer-based tools for decision support in agroforestry: current state and future needs. Agrofor Syst 61:401–421

    Article  Google Scholar 

  • Hoadley RB (1990) Identifying wood: accurate results with simple tools. Taunton Press, Newtown, CT. ISBN 0-942391-04-7

    Google Scholar 

  • Hoadley RB (2000) Understanding wood: a craftsman’s guide to wood technology. Taunton Press, Newtown, CT. ISBN 1-56158-358-8

    Google Scholar 

  • Hoffman K, Kruger L (2004) Microsoft Visual C#.NET 2003 Unleashed. Sams Publishing

  • Iliadis L (2007) Intelligent informations systems and applications in risk assessment. Stamoulis, Thessaloniki

    Google Scholar 

  • Jackson P (1990) Introduction to expert systems. Addison-Wesley Publishers, Reading, Massachusetts

    Google Scholar 

  • Kandel A (1992) Fuzzy expert systems. Florida, CRC Press, USA

    Google Scholar 

  • Kersten G, Meister D (1995) DSSfESD hardware and software catalogue. IDRC Report, Ottawa

    Google Scholar 

  • Leondes C (1998) Fuzzy logic and expert systems applications. Academic Press, California

    Google Scholar 

  • Leyva Lopez JC, Dautt Sanchez L, Aguilera Contreras MA (2008) A multicriteria decision support system with an evolutionary algorithm for deriving final ranking from a fuzzy outranking relation. Oper Res Int J 8:47–62

    Article  Google Scholar 

  • Marcot BG, McNay RS, Page RE (1988) Use of microcomputers for planning and managing silviculture habitat relationships. USDA General Technical Report PNW-GTR-228

  • Mikcovski SB, Van Beek LPH (2006) A decision support system for the evaluation of eco-engineering strategies for slope protection. Geotech Geol Eng 24:483–498

    Article  Google Scholar 

  • Mills WL Jr (1987) Expert systems: applications in the forest products industry. For Prod J 37(9):40–44

    Google Scholar 

  • Parsaye K, Chignell M (1988) Expert systems for experts. Wiley, New York

    Google Scholar 

  • Partridge D, Hussain K (1995) Knowledge based information systems. McGraw Hill, New York

    Google Scholar 

  • Reynolds KM, Schmoldt DL (2006) Computer-aided decision making. In: Shao G, Reynolds KM (eds) Computer applications in sustainable forest management: Including perspectives on collaboration and integration. Springer, The Netherlands, pp 143–169

    Chapter  Google Scholar 

  • Schuster EG, Leefers LA, Thompson JE (1993) A Guide to Computer-Based Analytical Tools for implementing National Forest Plans. Gen. Tech. Rep. INT-296, U.S. Department of Agriculture, Forest Service

  • Seagle JP, Duchessi P (1995) Acquiring expert rules with the aid of decision tables. Eur J Oper Res 84:150–162

    Article  Google Scholar 

  • Tsoumis G (1991) Science and technology of wood: Structure, properties, utilization. Chapman and Hall, New York

    Google Scholar 

  • Valarakos AG, Vouros G, Spyropoulos CD (2005) Machine learning-based maintenance of domain-specific application ontologies (to appear in Ontologies in the context of information systems). In: Kishore R, Ramesh R, Sharman R (eds) Ontologies: a handbook of principles, concepts and applications in information systems. Springer, US

  • Vlaxavas I, Kefalas P, Vasileiadis N, Kokkoras F, Sakelariou I (2006) Artificial intelligence. Giourdas Publications, Thess/niki

    Google Scholar 

  • Voulgaridis E, Passialis C, Vasiliou V (2000) Wood identification, (Academic lectures). Aristotelian University of Thessaloniki, Greece

    Google Scholar 

  • Waterman DA (1986) A guide to expert systems. Addison-Wesley Publishers, Reading, Massachusetts

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Konsatntinos Ioannou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ioannou, K., Birbilis, D. & Lefakis, P. A pilot prototype decision support system for recognition of Greek forest species. Oper Res Int J 9, 141–152 (2009). https://doi.org/10.1007/s12351-009-0037-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12351-009-0037-7

Keywords

Navigation