{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:20:55Z","timestamp":1767183655319,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319920061"},{"type":"electronic","value":"9783319920078"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92007-8_50","type":"book-chapter","created":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T15:02:40Z","timestamp":1526914960000},"page":"592-605","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Temporal Modeling of Invasive Species\u2019 Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps"],"prefix":"10.1007","author":[{"given":"Konstantinos","family":"Demertzis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vardis-Dimitris","family":"Anezakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lazaros","family":"Iliadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefanos","family":"Spartalis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,22]]},"reference":[{"key":"50_CR1","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/978-3-319-45243-2_16","volume-title":"Computational Collective Intelligence","author":"V-D Anezakis","year":"2016","unstructured":"Anezakis, V.-D., Dermetzis, K., Iliadis, L., Spartalis, S.: Fuzzy cognitive maps for long-term prognosis of the evolution of atmospheric pollution, based on climate change scenarios: the case of Athens. In: Nguyen, N.-T., Manolopoulos, Y., Iliadis, L., Trawi\u0144ski, B. (eds.) ICCCI 2016. LNCS (LNAI), vol. 9875, pp. 175\u2013186. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45243-2_16"},{"key":"50_CR2","doi-asserted-by":"publisher","unstructured":"Anezakis, V.D., Demertzis, K., Iliadis, L., Spartalis, S.: Evolving systems (2017). https:\/\/doi.org\/10.1007\/s12530-017-9196-6","DOI":"10.1007\/s12530-017-9196-6"},{"issue":"1","key":"50_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1080\/10408340500526766","volume":"36","author":"AG Asuero","year":"2006","unstructured":"Asuero, A.G., Sayago, A., Gonzalez, A.G.: The correlation coefficient: an overview. Crit. Rev. Anal. Chem. 36(1), 41\u201359 (2006). https:\/\/doi.org\/10.1080\/10408340500526766","journal-title":"Crit. Rev. Anal. Chem."},{"issue":"8","key":"50_CR4","doi-asserted-by":"publisher","first-page":"1737","DOI":"10.1007\/s10530-012-0187-z","volume":"14","author":"C Capinha","year":"2012","unstructured":"Capinha, C., Anast\u00e1cio, P., Tened\u00f3rio, J.A.: Predicting the impact of climate change on the invasive decapods of the Iberian inland waters: an assessment of reliability. Biol. Invasions 14(8), 1737\u20131751 (2012). https:\/\/doi.org\/10.1007\/s10530-012-0187-z","journal-title":"Biol. Invasions"},{"key":"50_CR5","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.ecolmodel.2018.01.007","volume":"371","author":"G Coro","year":"2018","unstructured":"Coro, G., Vilas, L.G., Magliozzi, C., Ellenbroek, A., Scarponi, P., Pagano, P.: Forecasting the ongoing invasion of Lagocephalus sceleratus in the Mediterranean Sea. Ecol. Model. 371, 37\u201349 (2018). https:\/\/doi.org\/10.1016\/j.ecolmodel.2018.01.007","journal-title":"Ecol. Model."},{"issue":"3","key":"50_CR6","doi-asserted-by":"publisher","first-page":"979","DOI":"10.1093\/jee\/99.3.979","volume":"99","author":"M Gevrey","year":"2006","unstructured":"Gevrey, M., Worner, S.P.: Prediction of global distribution of insect pest species in relation to climate by using an ecological informatics method. J. Econ. Entomol. 99(3), 979\u2013986 (2006)","journal-title":"J. Econ. Entomol."},{"issue":"4","key":"50_CR7","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1162\/artl.2009.gras.012","volume":"15","author":"R Gras","year":"2009","unstructured":"Gras, R., Devaurs, D., Wozniak, A., Aspinall, A.: An individual-based evolving predator-prey ecosystem simulation using a fuzzy cognitive map as the behavior model. Artif. Life 15(4), 423\u2013463 (2009). https:\/\/doi.org\/10.1162\/artl.2009.gras.012","journal-title":"Artif. Life"},{"key":"50_CR8","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.sajb.2015.07.017","volume":"102","author":"LN Hoveka","year":"2016","unstructured":"Hoveka, L.N., Bezeng, B.S., Yessoufou, K., Boatwright, J.S., Van der Bank, M.: Effects of climate change on the future distributions of the top five freshwater invasive plants in South Africa. S. Afr. J. Bot. 102, 33\u201338 (2016). https:\/\/doi.org\/10.1016\/j.sajb.2015.07.017","journal-title":"S. Afr. J. Bot."},{"issue":"4","key":"50_CR9","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1111\/1748-5967.12171","volume":"46","author":"JM Jung","year":"2016","unstructured":"Jung, J.M., Lee, W.H., Jung, S.: Insect distribution in response to climate change based on a model: Review of function and use of CLIMEX. Entomol. Res. 46(4), 223\u2013235 (2016). https:\/\/doi.org\/10.1111\/1748-5967.12171","journal-title":"Entomol. Res."},{"issue":"4","key":"50_CR10","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1016\/j.japb.2017.08.004","volume":"10","author":"JM Jung","year":"2017","unstructured":"Jung, J.M., Jung, S., Ahmed, M.R., Cho, B.K., Lee, W.H.: Invasion risk of the yellow crazy ant (Anoplolepis gracilipes) under the Representative Concentration Pathways 8.5 climate change scenario in South Korea. J. Asia Pac. Biodivers. 10(4), 548\u2013554 (2017). https:\/\/doi.org\/10.1016\/j.japb.2017.08.004","journal-title":"J. Asia Pac. Biodivers."},{"key":"50_CR11","unstructured":"Lowe, S., Browne, M., Boudjelas, S., De Poorter, M.: 100 of the world\u2019s worst invasive alien species: a selection from the Global Invasive Species Database. Published by The Invasive Species Specialist Group (ISSG) a specialist group of the Species Survival Commission (SSC) of the World Conservation Union (IUCN), Auckland, New Zealand (2000)"},{"issue":"2","key":"50_CR12","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1111\/j.1365-2664.2010.01782.x","volume":"47","author":"DR Paini","year":"2010","unstructured":"Paini, D.R., Worner, S.P., Cook, D.C., De Barro, P.J., Thomas, M.B.: Using a self-organizing map to predict invasive species: sensitivity to data errors and a comparison with expert opinion. J. Appl. Ecol. 47(2), 290\u2013298 (2010). https:\/\/doi.org\/10.1111\/j.1365-2664.2010.01782.x","journal-title":"J. Appl. Ecol."},{"issue":"1\u20132","key":"50_CR13","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/s10584-015-1500-5","volume":"134","author":"Z Qin","year":"2016","unstructured":"Qin, Z., Zhang, J.E., DiTommaso, A., Wang, R.L., Liang, K.M.: Predicting the potential distribution of Lantana camara L. under RCP scenarios using ISI-MIP models. Clim. Change 134(1\u20132), 193\u2013208 (2016). https:\/\/doi.org\/10.1007\/s10584-015-1500-5","journal-title":"Clim. Change"},{"issue":"4","key":"50_CR14","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1111\/j.1442-9993.2009.01942.x","volume":"34","author":"DSL Ramsey","year":"2009","unstructured":"Ramsey, D.S.L., Norbury, G.L.: Predicting the unexpected: Using a qualitative model of a New Zealand dryland ecosystem to anticipate pest management outcomes. Aust. Ecol. 34(4), 409\u2013421 (2009). https:\/\/doi.org\/10.1111\/j.1442-9993.2009.01942.x","journal-title":"Aust. Ecol."},{"issue":"2","key":"50_CR15","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1111\/j.1366-9516.2004.00061.x","volume":"10","author":"IC Robert","year":"2004","unstructured":"Robert, I.C., Hugh, J.M.: A neutral terminology to define \u2018invasive\u2019 species. Divers. Distrib. 10(2), 135\u2013141 (2004). https:\/\/doi.org\/10.1111\/j.1366-9516.2004.00061.x","journal-title":"Divers. Distrib."},{"key":"50_CR16","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.ecolmodel.2012.06.029","volume":"244","author":"R Sadeghi","year":"2012","unstructured":"Sadeghi, R., Zarkami, R., Sabetraftar, K., Van Damme, P.: Use of support vector machines (SVMs) to predict distribution of an invasive water fern Azolla filiculoides (Lam.) in Anzali wetland, southern Caspian Sea, Iran. Ecol. Model. 244, 117\u2013126 (2012). https:\/\/doi.org\/10.1016\/j.ecolmodel.2012.06.029","journal-title":"Ecol. Model."},{"key":"50_CR17","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.knosys.2016.04.023","volume":"105","author":"JL Salmeron","year":"2016","unstructured":"Salmeron, J.L., Froelich, W.: Dynamic optimization of fuzzy cognitive maps for time series forecasting. Knowl. Based Syst. 105, 29\u201337 (2016). https:\/\/doi.org\/10.1016\/j.knosys.2016.04.023","journal-title":"Knowl. Based Syst."},{"issue":"2","key":"50_CR18","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1007\/s10509-013-1775-9","volume":"350","author":"N Scafetta","year":"2014","unstructured":"Scafetta, N., Willson, R.C.: ACRIM total solar irradiance satellite composite validation versus TSI proxy models. Astrophys. Space Sci. 350(2), 421\u2013442 (2014). https:\/\/doi.org\/10.1007\/s10509-013-1775-9","journal-title":"Astrophys. Space Sci."},{"key":"50_CR19","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.jclepro.2015.04.131","volume":"107","author":"R Vidal","year":"2015","unstructured":"Vidal, R., Salmeron, J.L., Mena, A., Chulvi, V.: Fuzzy cognitive map-based selection of TRIZ trends for eco-innovation of ceramic industry products. J. Clean. Prod. 107, 202\u2013214 (2015). https:\/\/doi.org\/10.1016\/j.jclepro.2015.04.131","journal-title":"J. Clean. Prod."},{"issue":"8","key":"50_CR20","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1080\/02827581.2017.1283049","volume":"32","author":"CJ Wang","year":"2017","unstructured":"Wang, C.J., Wan, J.Z., Zhang, Z.X.: Expansion potential of invasive tree plants in ecoregions under climate change scenarios: an assessment of 54 species at a global scale. Scand. J. For. Res. 32(8), 663\u2013670 (2017). https:\/\/doi.org\/10.1080\/02827581.2017.1283049","journal-title":"Scand. J. For. Res."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92007-8_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,21]],"date-time":"2022-05-21T00:15:20Z","timestamp":1653092120000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-92007-8_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920061","9783319920078"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92007-8_50","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"22 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rhodes","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 May 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/easyconferences.eu\/aiai2018\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}