Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Ecological Modelling

Volumn 221, Issue 5, 2010, Pages 850-863

  Acosta, Hernando ^a   Wu, Dongrui ^b   Forrest, Barrie M ^c  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b University of Southern California ^*  (United States)

^c CAWTHRON INSTITUTE   (New Zealand)

Author keywords

Biosecurity; Expert opinion; Fuzzy systems; Interval type 2 fuzzy set; Invasion risk value; Marine invasions; NIS; Perceptual computer; Recreational vessels; Risk assessment

Indexed keywords

BIO-SECURITY; EXPERT OPINION; INTERVAL TYPE-2 FUZZY SETS; MARINE INVASIONS; NIS; PERCEPTUAL COMPUTER; RISK VALUE;

ANCHORAGES (FOUNDATIONS); ENVIRONMENTAL MANAGEMENT; EXPERT SYSTEMS; FISHING VESSELS; FUNCTIONAL ELECTRIC STIMULATION; FUZZY LOGIC; FUZZY SETS; HULLS (SHIP); HYDRAULIC STRUCTURES; MOORING; RISK MANAGEMENT; RISK PERCEPTION;

RISK ASSESSMENT;

BIOFOULING; BIOLOGICAL INVASION; BIOSAFETY; BOATING; DECISION MAKING; ENVIRONMENTAL MANAGEMENT; EXPERT SYSTEM; FUZZY MATHEMATICS; HULL; HUMAN ACTIVITY; INVASIVE SPECIES; MARINE ECOSYSTEM; RISK ASSESSMENT; VESSEL;

EID: 74549198696     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2009.11.025     Document Type: Article

References (97)

1. Acosta H., and Forrest B.M. Recreational boating and the spread of marine non-indigenous species: a conceptual model for risk assessment. Ecol. Modell. 220 13-14 (2009) 1586-1598
2. Ashton A.H., and Ashton R.H. Aggregating subjective forecasts: some empirical results. Manage. Sci. 31 (1985) 1499-1508
3. Ashton G., Boos K., Shucksmith R., and Cook E. Risk assessment of hull fouling as a vector for marine non-natives in Scotland. Aquat. Inv. 1 4 (2006) 214-218
4. Ashton R.H. Combining judgement of experts how many and which ones?. Organiz. Behav. Human Decis. Process. 38 (1986) 405-414
5. Ayyub B.M. Elicitation of Expert Opinions for Uncertainty and Risks (2001), C.R.C. Press, Boca Raton, FL, USA
6. Azadeh A., Fam I.M., Khoshnoud M., and Nikafrouz M. Design and implementation of a fuzzy expert system for performance assessment of an integrated health, safety, environment (HSE) and ergonomics system: the case of a gas refinery. Inf. Sci. 178 22 (2008) 4280-4300
7. Ballantine J. Code of Practice for Vessel and Facility Management (Marine and Inland Waters) (2008), Environment Protection Authority, Adelaide South Australia
8. Bezdek J. Fuzzy models-what are they, and why?. IEEE Trans. Fuzzy Syst. 1 1 (1993) 1-5
9. Bax, N., Hayes, K., Marshall, A., Parry, D., Thresher, R., 2002. Man-made marinas as sheltered islands for alien marine organisms: establishment and eradication of an alien invasive marine species. In: Veitch, C.R., Clout, M.N., (Eds.), Turning the Tide: The Eradication of Invasive Species. Auckland, Invasive Species Specialist Group of The World Conservation Union (IUCN), Occasional Paper 27, pp. 26-39.
10. Bedford T., and Cooke R. Probabilistic Risk Analysis. Foundation and Methods (2001), Cambridge University Press, New York, NY, USA
11. Burgman M. Risk and Decisions for Conservation and Environmental Management (2005), Cambridge University Press, New York, NY, USA
12. Carlton J.T. Transoceanic and interoceanic dispersal of coastal marine organisms: the biology of ballast water. Oceanogra. Mar. Biol.: An Annual Rev. 23 (1985) 313-371
13. Castro J.R., Castillo O., Melin P., and Rodríguez-Díaz A. A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks. Inf. Sci. 179 13 (2009) 2175-2193
14. Celikyilmaz A., Türkşen I.B., Aktaş R., Doganay M.M., and Ceylan N.B. Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions. Expert Syst. Appl. 36 2 (2009) 1337-1354
15. Cheong F., and Lai R. Connection admission control of MPEG streams in ATM network using hierarchical fuzzy logic controller. Eng. Appl. Artif. Intell. 22 1 (2009) 117-128
16. Cheung W.W.L., Pitcher T.J., and Pauly D. A fuzzy logic expert system to estimate intrinsic extinction vulnerabilities of marine fishes to fishing. Biol. Conserv. 124 1 (2005) 97-111
17. Chin K., Tang D., Yang J., Wong S.Y., and Wang H. Assessing new product development project risk by Bayesian network with a systematic probability generation methodology. Expert Syst. Appl. 36 6 (2009) 9879-9890
18. Clemen R.T., and Winkler R.L. Combining probability distributions from experts in risk analysis. Risk Analysis 19 2 (1999) 187-203
19. Colautti R.I., Bailey S.A., van Overdijk C.D.A., Amundsen K., and MacIsaac H.J. Characterised and projected costs of nonindigenous species in Canada. Biol. Inv. 8 (2006) 45-59
20. Cooke R.M. Experts in Uncertainty: Opinion and Subjective Probability in Science (1991), Oxford University Press, Oxford, UK
21. Coutts A.D.M., and Forrest B.M. Development and application of tools for incursion response: lessons learned from the management of the fouling pest Didemnum vexillum. J. Exp. Marine Biol. Ecol. 342 (2007) 154-162
22. Coutts A.D.M., and Taylor M.D. A preliminary investigation of biosecurity risks associated with biofouling on merchant vessels in New Zealand. N. Z. J. Mar. Freshwater Res. 38 (2004) 215-229
23. Dalkey N., and Helemer O. An experimental application of the Delphi method to the use of experts. Manage. Sci. 9 (1963) 458-467
24. Davis M.H., and Davis M.E. The role of man-aided dispersal in the spread of the immigrant Styela clava Herdman, 1882. J. Mar. Sci. Appl. Environ. 1 (2004) 18-24
25. Davis M.H., and Davis M.E. Styela clava (Tunicata: Ascidiacea) a new edition to the fauna of New Zealand. Porcupine Mar. Nat. Hist. Soc. Newslett. 20 (2006) 23-28
26. de Soto A.R., and Recasens J. Modelling a linguistic variable as a hierarchical family of partitions induced by an indistinguishability operator. Fuzzy Sets Syst. 121 3 (2001) 427-437
27. Deines A.M., Chen V., and Landis W.G. Modeling the risks of non-indigenous species introductions using a patch-dynamics approach incorporating contaminant effects as a disturbance. Risk Analysis 6 (2005) 1637-1651
28. Dijkstra J., Harris L.G., and Westerman E. Distribution and long-term temporal patterns of four invasive colonial ascidians in the Gulf of Maine. J. Exp. Mar. Biol. Ecol. 342 (2007) 61-68
29. Evsukoff A., and Gentil S. Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors. Adv. Eng. Inf. 1 (2005) 55-66
30. Fadaei A., and Salahshoor K. Design and implementation of a new fuzzy PID controller for networked control systems. ISA Trans. 47 4 (2008) 351-436
31. Fildes R. The forecasting journals and their contribution to forecasting research: citation analysis and expert opinion. Int. J. Forecasting 22 3 (2006) 415-432
32. Floerl O., Inglis G.J., Dey K., and Smith A. The importance of transport hubs in stepping -stone invasions. J. Appl. Ecol. 46 1 (2009) 37-45
33. Floerl O., and Inglis G.J. Boat harbour design can exacerbate hull fouling. Aust. Ecol. 28 (2003) 116-127
34. Floerl O., Inglis G.J., and Hayden B.J. A risk-based predictive tool to prevent accidental introductions of non-indigenous marine species. Environ. Manage. 35 6 (2005) 765-778
35. Forrest, B.M., Taylor, M.D., Sinner, J., 2006. Setting priorities for the management of marine pests using a risk-based decision support framework. In: Allen, R.B., Lee, W.G. (Eds.), Ecological Studies No. 186, Biological Invasions in New Zealand, Chap 25, Springer.
36. Forrest B.M., and Blakemore K.A. Evaluation of treatments to reduce the spread of a marine plant pest with aquaculture transfers. Aquaculture 257 (2006) 333-345
37. Forrest B.M., Gardner J.P.A., and Taylor M.D. Internal borders for managing invasive marine species. J. Appl. Ecol. 46 1 (2008) 46-54
38. Forrest B.M., Taylor M.D., and Sinner J. Setting priorities for the management of marine pests using a risk-based decision support framework. In: Allen R.B., and Lee W.G. (Eds). Ecological Studies vol. 186 (2006), Springer-Verlag, Berlin
39. Gollasch S. The importance of ship hull fouling as a vector of species introductions into the North Sea. Biofouling 18 2 (2002) 105-121
40. Gonzalez J.A., and Johnson L.J. Balancing recreational boating, invasive species, prevention, and water quality protection. Proceedings of Coastal Zone 07 Portland. Oregon, July 22-26 (2007)
41. Guimarães A.C.F., and Lapa C.M.F. Nuclear transient phase ranking table using fuzzy inference system. Ann. Nucl. Energy 31 15 (2004) 1803-1812
42. Ha J.S., and Seong P.H. A method for risk-informed safety significance categorization using the analytic hierarchy process and bayesian belief networks. Reliab. Eng. Syst. Saf. 83 1 (2004) 1-15
43. Hayes K.R. Identifying hazards in complex ecological systems Part 2: infection modes and effects analysis for biological invasions. Biol. Inv. 4 (2002) 251-261
44. Hayes, K.R., 1997. A review of ecological risk assessment methodologies. CRIMP, 13. CSIRO, Marine Research, Australia.
45. Hayes K.R., Cannon R., Neil K., and Inglis G. Sensitivity and cost considerations for the detection and eradication of marine pests in ports. Mar. Pollut. Bull. 50 8 (2005) 823-834
46. Hewitt C.L., and Hayes K.R. Risk assessment of marine biological invasions. In: Leppäkoski E., Gollasch S., and Olenin S. (Eds). Aquatic Invasive Species of Europe. Distribution, Impacts and Management (2003), Kluwer Academic Publishers, Dordrecht, The Netherlands
47. Hewitt C.L., Willing J., Bauckham A., Cassidy A.M., Cox C.M.S., Jones L., and Wotton D.M. New Zealand marine biosecurity: delivering outcomes in a fluid environment. N. Z. J. Mar. Freshwater Res. 38 (2004) 429-438
48. IMO, 2001. International convention on the control of harmful antifouling systems on ships. International Maritime Organisation, London, UK.
49. Inglis G.J., Hurren H., Oldman J., and Haskew R. Using habitat suitability index and particle dispersion models for early detection of marine invaders. Ecol. Appl. 16 4 (2006) 1377-1390
50. Johnson L.E., Ricciardi A., and Carlton J.T. Overland dispersal of aquatic invasive species: a risk assessment of transient recreational boating. Ecol. Appl. 11 (2001) 1789-1799
51. Kaufmann A., and Gupta M.M. Fuzzy Mathematical Models in Engineering and Management Science (1988), North Holland, Amsterdam
52. Li Y., and Sun X. Modelling dynamic niche and community model by type-2 fuzzy set. Ecol. Modell. 211 3-4 (2008) 375-382
53. Liu F., and Mendel J.M. Encoding words into interval type-2 fuzzy sets using an interval approach. IEEE Trans. Fuzzy Syst. 16 6 (2008) 1503-1521
54. Locke A., Hanson J.M., Ellis K.M., Thompson J., and Rochette R. Invasion of the southern Gulf of St. Lawrence by the clubbed tunicate (Styela clava Herdman): potential mechanisms for invasions of Prince Edward Island estuaries. J. Exp. Mar. Biol. Ecol. 342 1 (2007) 69-77
55. Lützen J. Styela clava Herdman (Urochordata Ascidiacea), a successful immigrant to north west Europe: ecology, propagation and chronology of spread. Helgoländer Meeresuntersuchungen 52 (1999) 383-391
56. Mandami E.H. Applications of fuzzy algorithms for control of a simple dynamic plant. Proc. IEEE 121 12 (1974) 1585-1588
57. Marchini A., and Marchini C. A fuzzy logic model to recognise ecological sectors in the lagoon of Venice based on the benthic community. Ecol. Modell. 193 1-2 (2006) 105-118
58. Mendel J.M. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions (2001), Prentice-Hall, Upper Saddle River, NJ
59. Mendel J.M. Fuzzy sets for words: a new beginning. FUZZ-IEEE (2003) 37-42
60. Mendel J.M. Advances in type-2 fuzzy sets and systems. Inf. Sci. 177 (2007) 84-110
61. Mendel, J.M., Wu, D., 2010. Perceptual Computing: Aiding People in Making Subjective Judgments. Wiley-IEEE. US.
62. MFE, 2004. Implementing the Fiordland Marine Conservation Strategy. Report of the Fiordland Marine Conservation Strategy Investigative Group. Ministry for the Environment Manatū Mō Te Taiao. Wellington, New Zealand, June 2004.
63. Miller A.W., Chang A.L., Cosentino-Manning N., and Ruiz G.M. A new record and eradication of the northern Atlantic alga Ascophyllum nodosum (Phaeophyceae) from San Francisco Bay, California, USA. J. Phycol. 40 6 (2004) 1028-1031
64. Minchin D. Aquaculture and transport in a changing environment: overlap and links in the spread of alien biota. Biofouling 55 (2007) 302-313
65. Minchin D., Davis M.H., and Davis M.E. Spread of the Asian tunicate Styela clava Herdman 1882 to the east and south-west coasts of Ireland. Aquat. Inv. 1 (2006) 91-96
66. Mineur F., Johnson M.P., and Maggs C.A. Macroalgal introductions by hull fouling on recreational vessels: seaweeds and sailors. Environ. Manage. 42 4 (2008) 667-676
67. Moon J.H., and Kang C.S. Use of fuzzy set theory in the aggregation of expert judgments. Ann. Nucl. Energy 26 6 (1999) 461-469
68. Morgan G.M., and Henrion M. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (1990), Cambridge University Press, NY, USA
69. Mouton A.M., De Baets B., and Goethals P.L.M. Knowledge-based versus data-driven fuzzy habitat suitability models for river management. Environ. Modell. Softw. 24 8 (2009) 982-993
70. Naylor R., Williams S.L., and Strong D.R. Aquaculture-a gateway for exotic species. Science 294 5547 (2001) 1655-1656
71. Pimentel D., Lack L., Zuniga R., and Morrison D. Environmental and economic costs of nonindigenous species in the United States. Bioscience 1 (2000) 53-67
72. Plikynas D., Sakalauskas L., and Poliakova A. Analysis of foreign investment impact on the dynamics of national capitalization structure: a computational intelligence approach. Res. Int. Bus. Finance 19 2 (2005) 304-332
73. Prato T. Assessing ecosystem sustainability and management using fuzzy logic. Ecol. Econo. 61 1 (2007) 171-177
74. Prato T. A fuzzy logic approach for evaluating ecosystem sustainability. Ecol. Modell. 187 2-3 (2005) 361-368
75. Raj P.N., and Kumar D.N. Ranking alternatives with fuzzy weights using maximizing set and minimizing set. Fuzzy Sets Syst 105 3 (1999) 365-375
76. Regan H.M., and Colyvan M. Fuzzy Sets and threatened species classification. Conserv. Biol. 14 4 (2005) 1197-1199
77. Sant N., Delgado O., Rodriguez-Prieto C., and Ballesteros E. The spreading of the introduced seaweed Caulerpa taxifolia (Vahl) C Agardh in the Mediterranean Sea: testing the boat transportation hypothesis. Bot. Mar. 39 (1996) 427-430
78. Schaefer G., Závišek M., and Nakashima T. Thermography based breast cancer analysis using statistical features and fuzzy classification. Pattern Recog. 42 6 (2009) 1133-1137
79. Schaffelke B., and Deane D. Desiccation tolerance of the introduced marine green alga Codium fragile ssp. tomentosoides-clues for likely transport vectors. Biol. Inv 7 (2005) 557-565
80. Sinner, J., Forrest, B.M., Taylor, M., 2000. A strategy for managing the Asian kelp Undaria: final report. Cawthron Report No. 578.
81. Sonak S., Pangam P., Giriyan A., and Hawaldar K. Implications of the ban on organotins for protection of global coastal and marine ecology. J. Environ. Manage. 90 1 (2009) 96-108
82. Tajbakhsh A., Rahmati M., and Mirzaei A. Intrusion detection using fuzzy association rules. Appl. Soft Comput. 9 2 (2009) 462-469
83. Toprak A., and Güler I. Angiograph image restoration with the use of rule base fuzzy 2D Kalman filter. Expert Syst. App. 35 4 (2008) 1752-1761
84. Vitousek P.M., Mooney H.A., Lubchenco J., and Melillo J.M. Human domination of Earth's ecosystems. Science 277 (1997) 249-299
85. Wang L. A Course in Fuzzy Systems and Control (1997), Prentice Hall, Upper Saddle River, NJ, USA
86. Wotton D.M., O'Brien C.O., Stuart M.D., and Fergus D.J. Eradication success down under: heat treatment of a sunken trawler to kill the invasive seaweed Undaria pinnatifida. Mar. Poll. Bull. 49 (2004) 844-849
87. Wu D., and Tan W.W. Genetic learning and performance evaluation of type-2 fuzzy logic controllers. Int. J. Eng. Appl. Artif. Intell. 19 8 (2006) 829-841
88. Wu D., and Mendel J.M. Aggregation using the linguistic weighted average and interval type-2 fuzzy sets. IEEE Trans. Fuzzy Syst. 15 6 (2007) 1145-1161
89. Wu D., and Mendel J.M. Uncertainty measures for interval type-2 fuzzy sets. Inf. Sci. 177 23 (2007) 5378-5393
90. Wu D., and Mendel J.M. A vector similarity measure for linguistic approximation: interval type-2 and type-1 fuzzy sets. Inf. Sci. 178 2 (2008) 381-402
91. Wu D., and Mendel J.M. Similarity-based perceptual reasoning for perceptual computing. Proceedings of FUZZ-IEEE. Jeju Island, South Korea (2009)
92. Wu D., and Mendel J.M. A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets. Inf. Sci. 179 8 (2009) 1169-1192
93. Wu D., and Mendel J.M. Enhance Karnik-Mendel algorithms. IEEE Trans. Fuzzy Syst. 17 (2009) 923-934
94. Wu H., Tzeng G., and Chen Y. A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Sys. App. 36 6 (2009) 10135-10147
95. Zadeh L.A. Fuzzy sets. Inf. Control 8 (1965) 338-353
96. Zadeh L.A. The concept of linguistic variables and its application to approximate reasoning. Inf. Sci. 8 (1975) 199-249
97. Zadeh L.A. Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4 (1996) 103-111