Integration Methodology of Mineral Resources Exploration and Intelligence
Edited by Yiming Wei ()
in CEEP-BIT Books from Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology
Abstract:
Based on a comprehensive review of domestic and international research achievements in mineral resource exploitation decision-making, this book addresses prominent challenges and emerging trends of mineral resource development decision-making in China. It adopts modern theories and technologies including systems engineering, knowledge engineering, software engineering, computer science, information engineering, artificial intelligence and management science to conduct research on the theoretical framework and practical application of intelligent integrated decision-making methods for mineral resource exploitation grounded in economic evaluation.As a monograph illustrating the application of systems engineering approaches, artificial intelligence theories and meta-synthesis methodologies to mineral resource development practices, the book bears practical value for corporate managers and decision-makers in relevant government authorities. It also serves as a useful reference for researchers specializing in resource and environmental management, industrial engineering and related disciplines.
JEL-codes: Q40 Q54 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ceep.bit.edu.cn/english/Publications/Books ... afa3408b7462fe4f.htm (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:biw:bookli:b55
Access Statistics for this book
More books in CEEP-BIT Books from Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology Contact information at EDIRC.
Bibliographic data for series maintained by Zhi-Fu Mi ().