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Journal of Environmental Accounting and Management
Dmitry Kovalevsky (editor), Jiazhong Zhang(editor)
Dmitry Kovalevsky (editor)

Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, Germany

Fax: +49 (0) 40 226338163 Email: dmitry.v.kovalevsky@gmail.com

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Combination of Imperfect Data in Fuzzy and Probabilistic Extension Classes

Journal of Environmental Accounting and Management 3(2) (2015) 123--150 | DOI:10.5890/JEAM.2015.06.004

Jérôme Dantan$^{1}$,$^{2}$; Yann Pollet$^{2}$; Salima Taibi$^{1}$

$^{1}$ Esitpa, Agri’terr, Mont-Saint-Aignan, France

$^{2}$ CNAM, CEDRIC, Paris, France

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Abstract

In this article, we propose a uniform formal model able to handle uncertain data. The approach presented provides a formalism for both representing and manipulating rigorously quantities which may have a finite number of possible or probable values with their interdependencies. Then, we define an algebraic structure to operate chained computations on such quantities with properties similar to 兟 . Next, we provide a particular interpretation for mixing such quantities through the Dempster- Shafer theory. Finally, we provide an implementation of this approach into object oriented programming.

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