Title :
An Evidence-Based Nonlinear Programming Model for MADA under Fuzzy Uncertainties
Author :
Zhou, Mi ; Liu, Xinbao
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei
Abstract :
Multiple-attribute decision analysis (MADA) problem consists of both quantitative data and qualitative information with subjective judgments of ambiguity. The evidential reasoning (ER) approach is well-suited for dealing with such MADA problems and can generate comprehensive distributed assessments for different alternatives. In the ER approach, many types of uncertainties could be considered such as imprecision, vagueness and fuzziness. In this paper, both triangular fuzzy weights and fuzzy utilities are proposed in the ER approach, which may be incurred in a lot of circumstances such as group decision making situation. Several pairs of ER based non-linear programming algorithms for MADA are conducted to generate the global fuzzy belief degrees of the assessed alternative. A case study based on R&D project assessment in a car manufacturer is implemented to illustrate the effectiveness of the proposed approach.
Keywords :
automobile manufacture; case-based reasoning; decision theory; fuzzy set theory; nonlinear programming; project management; research and development; uncertainty handling; MADA; R&D project assessment; car manufacturer; evidential reasoning; fuzzy uncertainties; fuzzy utilities; group decision making situation; multiple-attribute decision analysis problem; nonlinear programming algorithm; triangular fuzzy weights; Decision making; Erbium; Fuzzy reasoning; Information analysis; Information technology; Manufacturing; Research and development; Technology management; Uncertainty; Utility programs; Fuzzy evidential reasoning; Fuzzy utility; Multiple-Attribute Decision Analysis; Non-linear programming model; Triangular fuzzy weight;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.78