Software Tool Implementing the Fuzzy AHP Method in Ecological Risk Assessment

Andrejs Radionovs, Oļegs Užga-Rebrovs

Abstract


Due to the increased spread of invasive animals and plants in the territory of Latvia, the necessity of ecological risk assessment related to such kind of spread has grown lately. In cases with sufficient statistical data, the risk assessment may be successfully performed on the basis of statistical methods. The amount of statistical data in the context of spread of invasive animals and plants is pretty poor; therefore, the only method of ecological risk assessment remains subjective judgements of experts. The present paper proposes using a programming tool for ecological risk analysis elaborated by the authors. With the help of this programming tool the method of Fuzzy Analytical Hierarchical Process is implemented. The elements of the pair- wise comparison matrix are allowed to be expressed by triangular and trapezoidal fuzzy sets. The presented tool makes it possible to design the fuzzy pair-wise comparison matrix and process the results in a user-friendly way.


Keywords:

FAHP; fuzzy logic; fuzzy representation of knowledge; risk assessment

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References


SILAVA Latvian State Forests “Pārskats par pētījuma Mežsaimniecības ietekme uz meža un saistīto ekosistēmu pakalpojumiem”, 2016. [Online]. Available: https://www.daba.gov.lv/upload/File/zin_p/ZIN_P_SILAVA_Mezsaimn

_ietekme_2016.pdf

Daugavpils University, “2016. gada atskaite par invazīvo svešzemju sugu monitoringa programmas izstrādi”, 2016. [Online]. Available: https://www.daba.gov.lv/upload/File/DOC/invaz_sugas_ATSK_2016.docx

M. Velasquez, Patrick T. Hester, “An Analysis of Multi-Criteria Decision Making Methods,” International Journal of Operations Research, vol. 10, no. 2, pp. 56–66, 2013.

T. L. Saaty, “A scaling method for priorities in hierarchical structures,” Journal of Mathematical Psychology, vol. 15, no. 3, pp. 234–281, Jun. 1977. https://doi.org/10.1016/0022-2496(77)90033-5

T. L. Saaty, The analytic hierarchy process. McGraw-Hill, New York, 1980.

S. H. Ghodsypour and C. O’Brien, “A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming,” International Journal of Production Economics, vol. 56– 57, pp. 199–212, Sep. 1998. https://doi.org/10.1016/s0925-5273(97)00009-1

M. A. Badri, “Combining the analytic hierarchy process and goal programming for global facility location-allocation problem,” International Journal of Production Economics, vol. 62, no. 3, pp. 237– 248, Sep. 1999. https://doi.org/10.1016/s0925-5273(98)00249-7

R. H. L. Tsoi, “Using analytic hierarchy process method to prioritise human resources in substitution problem,” International Journal Computer Internet Management, vol. 9, pp. 25–36, 2001.

K. Chin, S. Chiu, and V. M. Rao Tummala, “An evaluation of success factors using the AHP to implement ISO 14001 ‐ based EMS, ” International Journal of Quality & Reliability Management, vol. 16, no. 4, pp. 341–362, Jun. 1999. https://doi.org/10.1108/02656719910248226

P. J. M. van Laarhoven, W. Pedrycz “A fuzzy extension of Saaty’s priority theory,” Fuzzy Sets and Systems, vol. 11, pp. 199–227, 1983. https://doi.org/10.1016/s0165-0114(83)80082-7

J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, vol. 17, no. 3, pp. 233–247, Dec. 1985. https://doi.org/10.1016/0165-0114(85)90090-9

D.-Y. Chang, “Applications of the extent analysis method on fuzzy AHP,” European Journal of Operational Research, vol. 95, no. 3, pp. 649–655, Dec. 1996. https://doi.org/10.1016/0377-2217(95)00300-2

M. Kerkez, V. Gajović, G. Puzić, “Flood risk assessment model using the fuzzy analytic hierarchy process”, Progress in Economic Sciences, vol. 4, pp. 271–282, 2017.

M. Taghizadeh Nouei, A. V. Kamyad , S. Ghazalbash , M. R. Sarzaeem, “Application of fuzzy-AHP extent analysis to determine the relative importance of risk factors in operative mortality after Coronary Artery Bypass surgery”, Mahyar Taghizadeh Nouei et.al / International Journal on Computer Science and Engineering (IJCSE), vol. 5, no. 2, pp. 393– 401, 2013.

C. Kahraman, T. Ertay, and G. Büyüközkan, “A fuzzy optimization model for QFD planning process using analytic network approach,” European Journal of Operational Research, vol. 171, no. 2, pp. 390–411, Jun. 2006. https://doi.org/10.1016/j.ejor.2004.09.016

T. L. Saaty, Theory and applications of the analytical network process: Decision-making with benefits, opportunities, costs, and risk. University of Pittsburgh, Pittsburgh, RWS Publications, 2005.


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