A COMPARATIVE EVALUATION OF EXISTING GIS UNCERTAINTY REASONING THEORIES

محل انتشار: همایش ژئوماتیک 82
سال انتشار: 1382
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 3,563

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

GEO82_28

تاریخ نمایه سازی: 25 آذر 1384

چکیده مقاله:

Information plays a key role in decision-making process. In order to have a proper decision-making, correct, precise and update information is necessary. Geospatial Information Systems (GISs) as the science and technology of optimum management of spatially referenced data is widely used as a spatial decision support system. One of the key functionalities of GIS is to integrate geospatial data with different levels of uncertainty collected from various sources. The value of GIS output products obtained from uncertain data and/or improper analysis is vague. It is therefore essential to implement reliable means for uncertainty management. There is a number of uncertainty handling approaches namely probability theory, information theory, fuzzy set theory, theory of evidence, non-monotonic logic, interval method, etc. knowledge of the potential and pitfalls of different uncertainty measures is essential for geospatial information (GI) community. This paper has critically reviewed the above-mentioned uncertainty reasoning approaches and elaborated their advantages and disadvantaged.

کلیدواژه ها:

نویسندگان

Rahim Ali Abbaspour

Department of Surveying and Geomatic Eng., Faculty of Engineering, University of Tehran,

Mahmoud R. Delavar

Department of Surveying and Geomatic Eng., Faculty of Engineering, University of Tehran,

Reihaneh Batouli

Department of Surveying and Geomatic Eng., Faculty of Engineering, University of Tehran,

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Alesheikh, A. A., 1998, Modeling and Managing Uncertainty in Object-Based ...
  • Bandemer, H. and Nather, W., 1992, Fuzzy data analysis. Dordrecht: ...
  • Blais, J.A.R., 1991b, On some practical applications of information theory ...
  • Cressie, N., 1991, statistics for spatial data, John Wiley Publications, ...
  • Delavar, M.R., 1997, Development of Probability Maps to Assess the ...
  • Kaufmann, A., 1975, Introduction to the Theory of Fuzzy Subsets, ...
  • Kolmogorov, A. N., 1933, Grundbegriffe der wahrschein lichkeitsrech numg, Berlin, ...
  • Shannon C.E. and Weaver W., 1959, The mathematical theory of ...
  • Smith, G.R. and Honeycutt, D. M., 1987, Gegraphic data uncertainty, ...
  • Veregin, H., 1989, Taxonomy of Error in Spatial Database, NCGIA, ...
  • Vckovski, A., 1998, Interoperable and distributed processing in GIS, Taylor ...
  • نمایش کامل مراجع