Artificial Intelligence
On the evidence inference theory
Information Sciences: an International Journal
The balanced scorecard: a foundation for the strategic management of information systems
Decision Support Systems
A multidimensional performance model for consolidating balanced scorecards
Advances in Engineering Software
Non-additive measures by interval probability functions
Information Sciences—Informatics and Computer Science: An International Journal
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Analyzing the combination of conflicting belief functions
Information Fusion
Performance measurement of supply chain management: A balanced scorecard approach
Computers and Industrial Engineering
Failure mode and effects analysis using a group-based evidential reasoning approach
Computers and Operations Research
Constructing confidence belief functions from one expert
Expert Systems with Applications: An International Journal
Combination of partially non-distinct beliefs: The cautious-adaptive rule
International Journal of Approximate Reasoning
The canonical decomposition of a weighted belief
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Analyzing the degree of conflict among belief functions
Artificial Intelligence
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A balanced scorecard based framework for assessing the strategic impacts of ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Interval efficiency assessment using data envelopment analysis
Fuzzy Sets and Systems
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
Implementation and performance evaluation using the fuzzy network balanced scorecard
Computers & Education
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Hi-index | 12.05 |
The evidential reasoning (ER) approach can model multiple attribute decision analysis problems with both quantitative and qualitative attributes under the uncertain environment. In real situations, however, giving precise (crisp) assessments for alternatives is often too restrictive and difficult for experts, due to the incompleteness or the lack of information, knowledge and data. And there may be dependence among attributes which is difficult to mathematically model or ill known. To deal with these situations, this paper develops a dependence-based interval-valued ER (shortly called DIER) approach based on Denoeux's cautious conjunctive rule which is an operator to combine belief functions from dependent sources. A pair of nonlinear optimization problems considering the relative weights of attributes is constructed based on the cautious rule to aggregate dependent attributes. Furthermore, due to the dependence of balanced scorecard (BSC) perspectives, the combination of DIER approach with BSC, called the DIER-BSC, is formed to implement the performance assessment under the uncertain environment. Finally, the performance assessment of the sensors department in a manufacturing company, which provides oxygen supplying and cooling devices for aviation, is demonstrated as an example to verify the validity and usefulness of DIER-BSC.