Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping

摘要: Complexities of geological processes portrayed as certain feature in a map (e.g., faults) are natural sources uncertainties decision-making for exploration mineral deposits. Besides uncertainties, knowledge-driven fuzzy logic) prospectivity mapping (MPM) is also plagued and incurs further uncertainty subjective judgment analyst when there no reliable proven value evidential scores corresponding to relative importance features that can directly be measured. In this regard, analysts apply expert opinion assess spatial evidences meaningful decision support. This paper aims fuzzification continuous data used proxy evidence facilitate support MPM generate target areas examination undiscovered addition, proposes adapt the concept expected improve logic because analysis uncertain variables presented terms their value. The proposed modified approach not only multi-criteria but it treats depicted by maps or term biased weighting more realistically comparison with classified membership defined continuously whereby, example, need categorize distances from proximity classes using arbitrary intervals. then integrating weighted layers function, described efficiently either greenfields brownfields. Fuzzy assigned logistic function.A well.The mapped features.