Evidential reasoning for assessing environmental impact

Abstract Many problems in the areas of environmental monitoring and assessment, site selection and planning, land use management, and natural resources allocation are characterized by the need to consider subjective judgement and uncertain data. Many of these problems are also spatial in nature. This research proposes a formal methodology for integrating subjective inferential reasoning and geographic information systems (GIS) into a decision support system for use in these problem domains. The rationale for inferential spatial models, and the structure and function of a spatial modeling environment based on the Dempster-Shafer theory of evidence are presented.

[1]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.

[2]  RICHARD 0. DUDA,et al.  Subjective bayesian methods for rule-based inference systems , 1899, AFIPS '76.

[3]  M. West,et al.  Bayesian forecasting and dynamic models , 1989 .

[4]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[5]  L. D. Hopkins,et al.  Methods for Generating Land Suitability Maps : A Comparative Evaluation , 2013 .

[6]  Judea Pearl,et al.  Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis , 1990 .

[7]  Jeff R. Wright,et al.  BAYESIAN REASONING SHELL FOR LAND MANAGEMENT I: STRUCTURE AND FUNCTION , 1991 .

[8]  Marvin S. Cohen An Expert System Framework for Non-monotonic Reasoning About Probabilistic Assumptions , 1985, UAI.

[9]  Derek Thompson,et al.  Fundamentals of spatial information systems , 1992, A.P.I.C. series.

[10]  Augustine Kong,et al.  Uncertain evidence and artificial analysis , 1990 .

[11]  Steven L. Tanimoto The elements of artificial intelligence , 1800 .

[12]  Andrew Borden Computer, know thine enemy , 1987 .

[13]  Jeff R. Wright,et al.  Bayesian Reasoning Shell for Land Management. II: Implementation , 1991 .

[14]  Glenn Shafer,et al.  Probability Judgment in Artificial Intelligence and Expert Systems , 1987 .

[15]  Edward H. Shortliffe,et al.  A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space , 1985, Artif. Intell..