A fuzzy logic based rippability classification system

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dc.authoridBasarir, Hakan/0000-0003-4556-4953
dc.authorwosidTutluoğlu, Levent/AAI-8962-2020
dc.authorwosidBasarir, Hakan/C-2237-2014
dc.contributor.authorBasarir, H.
dc.contributor.authorKarpuz, C.
dc.contributor.authorTutluoglu, L.
dc.date.accessioned2024-08-04T20:30:39Z
dc.date.available2024-08-04T20:30:39Z
dc.date.issued2007
dc.departmentİnönü Üniversitesien_US
dc.description.abstractDue to the environmental constraints and the limitations on blasting, ripping as a ground loosening and breaking method has become more popular in both mining and civil engineering applications. Because of the technological advances in dozer manufacturing techniques, more powerful dozer types are available today. Thus, the ground, previously classified as non-rippable, has become rippable. As a consequence, a more applicable rippability classification system is needed which considers both equipment properties as well as rock properties in all applications. This paper is part of a complementary research work and presents the development of a previously published grading rippability classification system by the application of fuzzy set theory. The integrated rippability classification system considers the combined utilization of the rock and equipment properties, as well as expert opinion. Fuzzy set theory was chosen mainly because it deals well with uncertainty in the choice of variables. Although there are apparent sharp or discontinuous boundaries in existing classification systems, practically most of the factors involved in the ripping process are less well defined and boundaries are more blurred (or fuzzy) or uncertain in nature. Also by means of fuzzy logic it is possible to eliminate bias or subjectivity. The validity of the proposed system was checked by the comparison against existing classification systems and direct ripping production values obtained at studied sites. It is seen that by means of fuzzy logic, the uncertainties are reduced and biased usage of the final ratings that appear in alternative systems are efficiently dealt with.en_US
dc.identifier.endpage+en_US
dc.identifier.issn0038-223X
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-38149138116en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage817en_US
dc.identifier.urihttps://hdl.handle.net/11616/94425
dc.identifier.volume107en_US
dc.identifier.wosWOS:000252765600008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSouth African Inst Mining Metallurgyen_US
dc.relation.ispartofJournal of The South African Institute of Mining and Metallurgyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfuzzy set theoryen_US
dc.subjectrock rippabilityen_US
dc.subjectrippability classiflcation systemen_US
dc.subjectdirect rippingen_US
dc.subjectfuzzy inference systemen_US
dc.titleA fuzzy logic based rippability classification systemen_US
dc.typeArticleen_US

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