Environmental

1. [BOOK] Bayesian methods for ecology

2. A taxonomy and treatment of uncertainty for ecology and conservation biology

3. [BOOK] Environmental modelling: An uncertain future?

4. [BOOK] Environmental modelling: An uncertain future?

5. Water pollution risk associated with natural gas extraction from the Marcellus Shale

6. Amphibian decline or extinction? Current declines dwarf background extinction rate

7. Accounting for uncertainty in marine reserve design

8. Fuzzy environmental decision-making: applications to air pollution

9. The currency and tempo of extinction

10. [PDF] Can fuzzy logic bring complex environmental problems into focus?

11. How to measure uncertainties in environmental risk assessment

12. Treatments of uncertainty and variability in ecological risk assessment of single-species populations

13. Estimating global arthropod species richness: refining probabilistic models using probability bounds analysis

14. Assessment of net change of productive capacity of fish habitats: the role of uncertainty and complexity in decision making

15. [BOOK] Management of contaminated site problems

16. Comparison of deterministic and probabilistic calculation of ecological soil screening levels

17. [PDF] Guidelines for using the IUCN red list categories and criteria

18. Case Study Part 2: Probabilistic modelling of long-term effects of pesticides on individual breeding success in birds and mammals

19. [PDF] Future climate change spells catastrophe for Blanchard's cricket frog, Acris blanchardi (Amphibia: Anura: Hylidae).

20. Use of metapopulation models in conservation planning

21. Climate change—An uncertainty factor in risk analysis of contaminated land

22. Uncertainty-driven characterization of climate change effects on drought frequency using enhanced SPI

23. Quantification of pathogens and sources of microbial indicators for QMRA in recreational waters

24. [PDF] Quantitative ecological risk assessments for the Daly River

25. Représentation et propagation de connaissances imprécises et incertaines: Application à l'évaluation des risques liés aux sites et sols pollués.

26. Uncertainty quantification and integration of machine learning techniques for predicting acid rock drainage chemistry: A probability bounds approach

27. [PDF] A proposed framework for characterising uncertainty and variability in rock mechanics and rock engineering

28. Environmental risk assessment of acid rock drainage under uncertainty: The probability bounds and PHREEQC approach

29. Confidence in geological interpretation: a methodology for evaluating uncertainty in common two and three-dimensional representations of subsurface geology

30. [PDF] A Comparison of Probability Bounds Analysis and Sensitivity Analysis in Environmentally Benign Design and Manufacture

31. A review of methods for quantifying wildlife habitat in large landscapes

32. [HTML] Uncertainty, variability and environmental risk analysis

33. Facilitated expert judgment of environmental risks: acquiring and analysing imprecise data

34. Handling uncertainty in higher dimensions with potential clouds towards robust design optimization

35. Setting cleanup targets in a probabilistic assessment

36. [CITATION] Modeling uncertainty in population biology: How the model is written does matter

37. Ecological risk assessment of acid rock drainage under uncertainty: The fugacity approach

38. [CITATION] A framework for assessing the biological risks of increasing salinity in Victoria

39. Using fuzzy intervals to represent measurement error and scientific uncertainty in endangered species classification

40. [CITATION] Uncertainty propagation in population level salinity risk models

41. Description and propagation of uncertainty in input parameters in environmental fate models

42. [PDF] Hodnotenie stavu ohrozenia taxónov fauny a flóry

43. [PDF] Monte-carlo-type techniques for processing interval uncertainty, and their geophysical and engineering applications

44. Probability bounds analysis for nonlinear population ecology models

45. [PDF] A bizonytalanság értékelése a földtudományokban

46. Uncertanities and risk in geological activities and new ways of their handling

47. Verified Uncertainty Analysis in Modeling Nonlinear Bioreactor Dynamics

48. Assessing, Representing, and Transmitting Uncertainty in GIS: Ten Years On

49. “AMORE” Decision Support System for probabilistic Ecological Risk Assessment-Part I: Exposure and risk assessment of the case study on cyanide

50. Uncertain spatial reasoning of environmental risks in GIS using genetic learning algorithms

51. [CITATION] Clouds and other uncertainty representations–How to handle incomplete information in higher dimensions

52. Method of reliability assessment of arctic pipelines in the space of loads

53. [PDF] Universita degli studi di Napoli

54. [PDF] FUZZY LIFE-CYCLE ASSESSMENT APPROACH FOR QUANTIFYING ENVIRONMENTAL IMPACTS OF PAVEMENT PROJECTS UNDER UNCERTAINTY

55. Fuzzy-probabilistic calculations of evapotranspiration

56. [PDF] МЕТОД ДВУСТОРОННЕЙ ОЦЕНКИ НАДЕЖНОСТИ АРКТИЧЕСКИХ ТРУБОПРОВОДОВ В ПРОСТРАНСТВЕ НАГРУЗОК

57. [PDF] AN ANALYSIS OF POST-HARVEST LOSSES MANAGEMENT STRATEGIES BY FARMERS IN AWGU LOCAL GOVERNMENT AREA OF ENUGU STATE …

58. Representation and propagation of imprecise and uncertain knowledge: applied to risk assessments related by polluted sites and soils

59. A decision support framework for economic evaluation of flexible strategies in pavement construction projects

60. Representation and propagation of imprecise and uncertain knowledge: applied to risk assessments related by polluted sites and soils; Representation et propagation …

61. Probability Bounds Analysis in Modeling Nonlinear Ecosystem Dynamics

62. ECOTOXICOLOGICAL SOFTWARE TOOLS FOR ENVIRONMENTAL ENGINEERING.

63. [HTML] Метод оценки достоверности количественного анализа риска на объектах нефтегазовой отрасли

Health

1. Population viability analyses in conservation planning: an overview

2. Making consistent IUCN classifications under uncertainty

3. [BOOK] Uncertainty in quantitative risk analysis: characterisation and methods of treatment

4. Uncertain numbers and uncertainty in the selection of input distributions—Consequences for a probabilistic risk assessment of contaminated land

5. Site‐specific applications of probabilistic health risk assessment: Review of the literature since 2000

6. Analysis and portrayal of uncertainty in a food-web exposure model

7. New statistical metliods in risk assessment by probability bounds

8. Heterogeneous uncertainties in cholesterol management

9. A risk assessment perspective of current practice in characterizing uncertainties in QSAR regression predictions

10. Assessing the risk of an excess fluoride intake among Swedish children in households with private wells—expanding static single-source methods to a probabilistic …

11. [PDF] Evaluation of risk from acts of terrorism: the adversary/defender model using belief and fuzzy sets.

12. Estimation of interindividual pharmacokinetic variability factor for inhaled volatile organic chemicals using a probability-bounds approach

13. Intake estimation of polychlorinated dibenzo-p-dioxins, dibenzofurans (PCDD/Fs) and polychlorinated biphenyls (PCBs) in salmon: the inclusion of uncertainty

14. Exposure to contaminated sediments during recreational activities at a public bathing place

15. The risk of overestimating the risk-metal leaching to groundwater near contaminated glass waste deposits and exposure via drinking water

16. Sensitivity analysis of the pressure-based direct integrity test for membranes used in drinking water treatment

17. [PDF] Modeling uncertainty in risk assessment using Double Monte Carlo method

18. A Frequency/Consequence‐based Technique for Visualizing and Communicating Uncertainty and Perception of Risk

19. HEALTH RISK ASSESSMENT ASSOCIATED WITH NITROGEN COMPOUNDS CONTAMINATED DRINKING WATER IN MEDIAS REGION.

20. Opinion of the Scientific Committee related to Uncertainties in Dietary Exposure Assessment

21. Modelling Uncertainty in Environmental Health Impact Assessment

22. Challenges of sustainable development: UMTP risks to ecosystem and human health

23. A Qualitative Analysis of the Pathway Pest Risks Associated with Export of Pineapple, Ananas comosus from the Southwest Nigeria to the USA.

24. Verified Solution of Epidemiological Models with Probabilistic Uncertainty

General Engineering

1. Constructing probability boxes and Dempster-Shafer structures

2. Information theory

3. [BOOK] Uncertainty modeling and analysis in engineering and the sciences

4. [PDF] Experimental uncertainty estimation and statistics for data having interval uncertainty

5. Arithmetic with uncertain numbers: rigorous and (often) best possible answers

6. [BOOK] Optimization and anti-optimization of structures under uncertainty

7. [PDF] Uncertainty and information

8. Dependence in probabilistic modeling Dempster-Shafer theory and probability bounds analysis

9. The value of using imprecise probabilities in engineering design

10. Setting reliability bounds on habitat suitability indices

11. Sensitivity analysis using probability bounding

12. [BOOK] Computing statistics under interval and fuzzy uncertainty

13. Exact bounds on finite populations of interval data

14. Equivalence of methods for uncertainty propagation of real-valued random variables

15. Statool: a tool for Distribution Envelope Determination (DEnv), an interval-based algorithm for arithmetic on random variables

16. Towards combining probabilistic and interval uncertainty in engineering calculations: algorithms for computing statistics under interval uncertainty, and their …

17. Representation and problem solving with distribution envelope determination (DEnv)

18. [PDF] Probability bounds analysis in environmental risk assessment

19. [PDF] Validation of imprecise probability models

20. Integrating system dynamics and fuzzy logic modeling to determine concession period in BOT projects

21. [BOOK] Sensitivity in risk analyses with uncertain numbers

22. [PDF] Comparing Methods for Joint Objective and Subjective Uncertainty Propagation with an example in a risk assessment.

23. Computing with words in risk assessment

24. Interval and fuzzy analysis: A unified approach

25. Eliminating design alternatives based on imprecise information

26. Using Pearson correlation to improve envelopes around the distributions of functions

27. [PDF] Bayesian methods in risk assessment

28. Representation and calculation of economic uncertainties: Intervals, fuzzy numbers, and probabilities

29. [PDF] Dependence in Dempster-Shafer theory and probability bounds analysis

30. Managing the collection of information under uncertainty using information economics

31. Monte-Carlo-type techniques for processing interval uncertainty, and their potential engineering applications

32. Formulation for reliable analysis of structural frames

33. On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems

34. Probabilistic bounding analysis in the quantification of margins and uncertainties

35. A generalization of p-boxes to affine arithmetic

36. Potential based clouds in robust design optimization

37. [PDF] Absolute bounds on the mean of sum, product, max, and min: a probabilistic extension of interval arithmetic

38. Exact bounds on sample variance of interval data

39. Why risk analysis is difficult, and some thoughts on how to proceed

40. Computer arithmetic for probability distribution variables

41. [BOOK] Literature review of methods for representing uncertainty

42. Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty

43. Why use one model? An approach for encompassing model uncertainty and improving best practice

44. [PDF] Monte-Carlo-type techniques for processing interval uncertainty, and their engineering applications

45. [PDF] Monte-Carlo-type techniques for processing interval uncertainty, and their engineering applications

46. Managing uncertainty in engineering design using imprecise probabilities and principles of information economics

47. Exact upper bound on the mean of the product of many random variables with known expectations

48. Fuzzy-probabilistic calculations of water-balance uncertainty

49. Probability bounds analysis solves the problem of incomplete specification in probabilistic risk and safety assessments

50. Bounding the times to failure of 2-component systems

51. [PDF] Model Validation Under Both Aleatory and Epistemic Uncertainty.

52. [PDF] How to take into account dependence between the inputs: from interval computations to constraint-related set computations, with potential applications to …

53. Numerical methods for propagating imprecise uncertainty

54. [PDF] Introduction to the concepts and methods of uncertainty analysis

55. [PDF] Autonomous robust design optimisation with potential clouds

56. Risk of extreme and rare events: Lessons from a selection of approaches

57. Fast algorithm for computing the upper endpoint of sample variance for interval data: case of sufficiently accurate measurements

58. Probability bounds analysis as a general approach to sensitivity analysis in decision making under uncertainty

59. Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer chips

60. Static analysis of programs with imprecise probabilistic inputs

61. Probability boxes as info-gap models

62. [PDF] Towards combining probabilistic and interval uncertainty in engineering calculations

63. Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

64. Probability bounds analysis for nonlinear dynamic process models

65. Propagation of imprecise probabilities through black box models

66. An interval-valued reliability model with bounded failure rates

67. Computing best-possible bounds for the distribution of a sum of several variables is NP-hard

68. [PDF] Probability bounds analysis is a global sensitivity analysis

69. [PDF] Applying information economics and imprecise probabilities to data collection in design

70. [HTML] Natural language of uncertainty: numeric hedge words

71. [PDF] A new method of resource estimation for bauxite and other solid mineral deposits

72. Uncertainty propagation using probabilistic affine forms and concentration of measure inequalities

73. Fast algorithms for computing statistics under interval uncertainty: an overview

74. Probabilistic approach to trust: ideas, algorithms, and simulations

75. Mean and variance bounds and propagation for ill-specified random variables

76. From interval computations to constraint-related set computations: towards faster estimation of statistics and odes under interval, p-box, and fuzzy uncertainty

77. Empirical comparison of methods for the hierarchical propagation of hybrid uncertainty in risk assessment, in presence of dependences

78. A verified realization of a Dempster–Shafer based fault tree analysis

79. Bayesian probability boxes in risk assessment

80. Inclusion of human errors assessment in failure frequency analysis—A case study for the transportation of ammonia by rail in Malaysia

81. [PDF] Computing higher central moments for interval data

82. [PDF] Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints.

83. Bounding uncertainty analyses

84. [PDF] Economic dispatch: applying the interval-based distribution envelope algorithm to an electric power problem

85. New fuzzy model for risk assessment based on different types of consequences

86. Clouds, p-boxes, fuzzy sets, and other uncertainty representations in higher dimensions

87. [PDF] Computing variance under interval uncertainty: a new algorithm and its potential application to privacy in statistical databases

88. Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in …

89. Computationally efficient imprecise uncertainty propagation

90. Towards adding probabilities and correlations to interval computations

91. [BOOK] Fast algorithms for computing statistics under interval uncertainty, with applications to computer science and to electrical and computer engineering

92. How the concept of information as average number of" yes"-" no" questions (bits) can be extended to intervals, p-boxes, and more general uncertainty

93. [PDF] Verified Solution and Propagation of Uncertainty in Physiological Models.

94. [PDF] Propagating uncertainty through a quadratic response surface model

95. A framework for uncertainty modeling in operational risk

96. Computing fuzzy trajectories for nonlinear dynamic systems

97. [BOOK] The use of probability bounds analysis for characterising and propagating uncertainty in species sensitivity distributions

98. [PDF] Two etudes on combining probabilistic and interval uncertainty: processing correlations and measuring loss of privacy

99. [PDF] Propagating uncertainties in modeling nonlinear dynamic systems

100. [PDF] Foundations of statistical processing of set-valued data: towards efficient algorithms

101. Fitting a normal distribution to interval and fuzzy data

102. [PDF] Application-motivated combinations of fuzzy, interval, and probability approaches, and their use in geoinformatics, bioinformatics, and engineering

103. Integrated fuzzy framework to incorporate uncertainty in risk management

104. Uncertainty modelling of atmospheric dispersion by stochastic response surface method under aleatory and epistemic uncertainties

105. Unimodality, independence lead to NP-hardness of interval probability problems

106. [BOOK] Accurately computing ecological risk under measurement uncertainty

107. [PDF] Static analysis of numerical programs and systems

108. [PDF] Epistemic uncertainty in agent-based modeling

109. Estimating information amount under uncertainty: algorithmic solvability and computational complexity

110. How to measure a degree of mismatch between probability models, p-boxes, etc.: A decision-theory-motivated utility-based approach

111. [PDF] Sensitivity analysis in radiological risk assessment using probability bounds analysis

112. A search algorithm for calculating validated reliability bounds

113. [PDF] A faster algorithm for computing the sum of p-boxes

114. [PDF] On completion times of networks of concurrent and sequential tasks

115. Experimental uncertainty estimation and statistics for data having interval uncertainty.

116. Towards a more realistic representation of uncertainty: An approach motivated by info-gap decision theory

117. Why intervals? Why fuzzy numbers? Towards a new justification

118. [PDF] An interval-based tool for verified arithmetic on random variables of unknown dependency

119. Computing interval-valued reliability measures: application of optimal control methods

120. Verified computation with probabilities

121. [PDF] Interval and Fuzzy Techniques in Business-Related Computer Security: Intrusion Detection, Privacy Protection

122. Using probability boxes to model elicited information: A case study

123. [PDF] Mathematical aspects of unique signal assessment

124. Towards faster estimation of statistics and odes under interval, p-box, and fuzzy uncertainty: from interval computations to rough set-related computations

125. Sustainability Under Severe Uncertainty: A Probability-Bounds-Analysis-Based Approach

126. [PDF] Uncertainty modeling of radiological risk using probability and possibility methods

127. From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and p-Box Uncertainty (Invited …

128. [BOOK] The Dilemmas of Wonderland: Decisions in the Age of Innovation

129. Models and algorithms for statistical timing and power analysis of digital integrated circuits

130. Incorporating uncertainty in environmental models informed by imagery

131. Étalonnage des robots à câbles: identification et qualification

132. [CITATION] Анализ новых подходов к представлению неопределенности в данных для крупномасштабных систем

133. On the use of intervals in scientific computing: what is the best transition from linear to quadratic approximation?

134. Rigorous Propagation of Imprecise Probabilities in Process Models

135. [PDF] Process Planning Method For Mask Projection Stereolithography Under Parameter Uncertainty

136. [PDF] Static analysis of structural systems with uncertain parameters using probability-box

137. A comparison of Bayesian techniques and non-probabilistic models in rock engineering design

138. Probabilistic set-membership state estimator

139. From Interval (Set) and Probabilistic Granules to Set-and-Probabilistic Granules of Higher Order

140. Sensitivity in risk analyses with uncertain numbers.

141. [PDF] Activity Networks and Uncertainty Quantification: 2nd order probability for solving graphs of concurrent and sequential tasks

142. Uncertainty Arithmetic on Excel Spreadsheets: Add-In for Intervals, Probability Distributions, and Probability Boxes

143. Expert knowledge is needed for design under uncertainty: for p-boxes, backcalculation is, in general, NP-hard

144. Computing statistical characteristics when we know probabilities with interval or fuzzy uncertainty: computational complexity

145. [PDF] Application-motivated combinations of fuzzy, interval, and probability approaches, with application to geoinformatics, bioinformatics, and engineering

146. [PDF] Static Timing Analysis Based on Partial Probabilistic Description of Delay Uncertainty

147. Adding constraints to situations when, in addition to intervals, we also have partial information about probabilities

148. [PDF] From Interval and Probabilistic Granules to Granules of Higher Order

149. [PDF] Adding Unimodality or Independence Makes Interval Probability Problems NP-Hard

150. Processing quantities with heavy-tailed distribution of measurement uncertainty: how to estimate the tails of the results of data processing

151. [PDF] The Use of Interval-related Expert Knowledge in Processing 2-D and 3-D Data: With an Emphasis on Applications to Geosciences and Biosciences

152. [PDF] Towards Joint Use of Probabilities and Intervals in Scientific Computing: What is the Best Transition from Linear to Quadratic Approximation

153. Risk Based Decision Making: Three Examples of Practical Application Tools

154. [PDF] Uncertainty Quantification and Sensitivity Analysis? Some Fundamental Concepts Terminology Definitions and Relationships.

155. 有关 IUCN 红色名录中 “地点” 参数合理应用的讨论

156. [CITATION] DRAFT DETC2006-99237

157. [BOOK] Imprecise uncertainties in design and decision making—Propagationand effects

158. [CITATION] GIT Analysis of the Crushable Foam Experiment and Simulations

159. Constructor: synthesizing information about uncertain variables.

160. From p-boxes to p-ellipsoids: Towards an optimal representation of imprecise probabilities

161. Computational Methods for Decision Making

162. [CITATION] Martine Ceberio, Scott Ferson 2, Vladik Kreinovich, Sanjeev Chopra, Gang Xiang Department of Computer Science University of Texas at El Paso

163. [BOOK] Uncertainty propagation in models for dynamic nonlinear systems: Methods and applications

164. [PDF] Potential clouds in robust design

165. [PDF] Fast Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty, and Their Applications

166. [PDF] Real-Time Algorithms for Statistical Analysis of Interval Data and How They Can Be Used in Intelligent Systems

167. [CITATION] Los Alamos, NM 87545, USA mceberio@ utep. edu, scott@ ramas. com, joslyn@ lanl. gov vladik@ utep. edu, gxiang@ utep. Edu

168. [PDF] Simulation based uncertainty handling with polyhedral clouds

169. [PDF] Investigating an optimal decision point for probability bounds analysis models when used to estimate remedial soil volumes under uncertainty at hazardous …

170. 629f Propagation of Uncertainties in Nonlinear Dynamic Models

171. [CITATION] Uncertainty, Probability and Robust Preferences

172. Engineering Design under Imprecise Probabilities: Computational Complexity

173. Overcoming some limitations of imprecise reliability models

174. Combining Interval, Probabilistic, and Fuzzy Uncertainty: Foundations, Algorithms, Challenges--An Overview

175. [CITATION] Model Validation and Predictive Capability

176. [PDF] THE VALUE OF REPRESENTING EPISTEMIC UNCERTAINTY IN ENGINEERING DESIGN

177. Time-dependent reliability analysis for deteriorating structures using imprecise probability theory

178. [PDF] On the Use of Intervals (and Probabilities) in Scientific Computing: What is the Best Transition from Linear to Quadratic Approximation?

179. From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and p-Box Uncertainty

180. [PS] Computing Variance under Interval Uncertainty: A New Algorithm and Its Potential Application to Privacy in Statistical Databases

181. [PDF] Selective reduction of activity time uncertainty to reduce risk of unacceptable system performance

182. [PDF] Synthesizing Information about Uncertain Variables

183. [BOOK] Estimating covariance under interval uncertainty in privacy-protected statistical databases

184. Computationally Efficient Imprecise Uncertainty Propagation in Engineering Design and Decision Making

185. [PDF] Simulated polyhedral clouds in robust optimisation

186. [PDF] OPTIMIZATION UNDER GENERALIZED UNCERTAINTY A Unified Approach

187. Practical Research on Fuzzy Risk of Water Resources in Jinhua City, China

188. [PDF] CENTRE D'ORSAY

189. Solution of uncertain linear systems of equations with probability-box parameters

190. [PS] Interval and Fuzzy Techniques in Business-Related Computer Security: Intrusion Detection, Privacy Protection

191. [PDF] How to Measure a Degree of Mismatch Between Probability Models, p-Boxes, etc.: A Decision Theory-Motivated Utility-Based Approach

192. [PDF] Reliability and Maintenance of Structures Under Severe Uncertainty

193. [CITATION] DETC2005-84329

194. [PDF] Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their …

195. [PDF] Kaj Madsen and Jerzy Wasniewski Technical University of Denmark Richard Petersens Plads, Building 321 DK-2800 Kongens Lyngby, Denmark Emails:{km, jw …

196. A Simulation Model Validation and Calibration Platform

197. [PDF] Projecting uncertainty through black boxes

198. [PS] Exact Upper Bound on the Mean of the Multiple Product

199. [PDF] Martine Ceberio1, Scott Ferson2, Vladik Kreinovich1, Sanjeev Chopra1, Gang Xiang1 1Department of Computer Science University of Texas at El Paso

200. [PDF] Interval and p-Box Techniques for Model Validation: on the Example of the Thermal Challenge Problem

201. [PS] Ellipsoids and Ellipsoid-Shaped Fuzzy Sets as Natural Multi-Variate Generalization of Intervals and Fuzzy Numbers: How to Elicit Them from Users, and How to …

202. [PDF] REPORT ON PROBABILISTIC APPROACHES FOR TYPICAL 5 DATASETS 2

203. [PS] Computing Higher Central Moments for Interval Data

204. [PDF] Sujet de stage de Master 2: Qualité de la propagation d'incertitudes dans des modèles multiphysiques Chaire “Ingénierie des Systèmes Complexes” Ecole …

205. [PDF] Информационно-аналитический подход к обработке экономической информации на основе численного вероятностного анализа

206. [PDF] Разработка модуля арифметических операций для работы с неопределенными данными

207. Proposta metodológica para identificação, classificação e minimização das incertezas em estudos de riscos