Mass function derivation and combination in multivariate data spaces
نویسندگان
چکیده
In this paper, we consider the problem of how to derive mass functions systematically from data samples. We also consider the ensuing problem of how to combine different mass functions derived in this way. We show that a mass function can be efficiently and systematically derived from multivariate data. We also demonstrate that combining mass functions obtained in this manner can be done easily. The way of deriving and combining mass functions is illustrated with a simple example.
منابع مشابه
Generalization of Canonical Correlation Analysis from Multivariate to Functional Cases and its related problems
In multivariate cases, the aim of canonical correlation analysis (CCA) for two sets of variables x and y is to obtain linear combinations of them so that they have the largest possible correlation. However, when x and y are continouse functions of another variable (generally time) in nature, these two functions belong to function spaces which are of infinite dimension, and CCA for them should b...
متن کاملInvestigating factors affecting the occurrence of mass movements using Multivariate Linear Regression (Case study: Abidar watershed)
Investigating the factors affecting the occurrence of mass movements, help to identify sensitive areas and providing solutions and ways to control and proper management, partly to prevent the occurrence of mass movements. This research tried to recognize the factor affecting the occurrence of mass movements in the Forest Park Abidar watershed. In this research, information layers including lith...
متن کاملDerivation of Intensity -Duration-Frequency -Area(IDFA) Curves for Mashhad City
A knowledge of rainfall distribution over a finite area is needed for small bydraulic structures design. Hydrologists have always been concerned about Depth- Area- Duration (DAD) for a specific storm in a watershed. An intense storm occurred on June 6, 1992 which claimed some lives in parts of Mashhad, Khorasan Province, Iran. Data of rainfall depth at 29 raingauge stations around the city and ...
متن کاملStudying empirical correlation between drilling specific energy and geo-mechanical parameters in an oil field in SW Iran
Multiplicity of the effective factors in drilling reflects the complexity of the interaction between rock mass and drilling bit, which is followed by the dependence of parameters and non-linear relationships between them. Rock mass or, in other words, the formation intended for drilling, as the drilling environment, plays a very essential role in the drilling speed, depreciation of drilling bit...
متن کاملMultivariate Estimation of Rock Mass Characteristics Respect to Depth Using ANFIS Based Subtractive Clustering- Khorramabad- Polezal Freeway Tunnels
Combination of Adoptive Network based Fuzzy Inference System (ANFIS) and subtractive clustering (SC) has been used for estimation of deformation modulus (Em) and rock mass strength (UCSm) considering depth of measurement. To do this, learning of the ANFIS based subtractive clustering (ANFISBSC) was performed firstly on 125 measurements of 9 variables such as rock mass strength (UCSm), deformati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Inf. Sci.
دوره 180 شماره
صفحات -
تاریخ انتشار 2010