The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Method of Probabilistic Nodes Combination in Decision Making and Risk Analysis: Data Extrapolation in Planning
Abstract
Proposed method, called Probabilistic Nodes Combination (PNC), is the method of 2D curve interpolation and extrapolation using the set of key points (knots or nodes). Nodes can be treated as characteristic points of data for modeling and analyzing. The model of data can be built by choice of probability distribution function and nodes combination. PNC modeling via nodes combination and parameter ? as probability distribution function enables value anticipation in risk analysis and decision making. Two-dimensional curve is extrapolated and interpolated via nodes combination and different functions as discrete or continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function. Novelty of the paper consists of two generalizations: generalization of previous MHR method with various nodes combinations and generalization of linear interpolation with different (no basic) probability distribution functions and nodes combinations.
Related Content
|
Sonal Linda.
© 2024.
24 pages.
|
|
Yasmin Yousaf Mossa, Peter Smith, Kathleen Ann Bland.
© 2024.
40 pages.
|
|
Ugochukwu Okwudili Matthew, Jazuli Sanusi Kazaure, Charles Chukwuebuka Ndukwu, Godwin Nse Ebong, Andrew Chinonso Nwanakwaugwu, Ubochi Chibueze Nwamouh.
© 2024.
29 pages.
|
|
Shruti Jose, Priyakrushna Mohanty.
© 2024.
20 pages.
|
|
Richa Srishti.
© 2024.
15 pages.
|
|
Aleksei Alipichev, Liudmila Nazarova, Yana Chistova.
© 2024.
21 pages.
|
|
Mustafa Öztürk Akcaoğlu, Burcu Karabulut Coşkun.
© 2024.
18 pages.
|
|
|