Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like?
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy Sets and Systems - Fuzzy mathematical programming
Fuzzy efficiency measures in data envelopment analysis
Fuzzy Sets and Systems
Using classification as an aggregation tool in MCDM
Fuzzy Sets and Systems - Special issue on soft decision analysis
Fuzzy DEA: a perceptual evalution method
Fuzzy Sets and Systems
Data Envelopment Analysis using Fuzzy Concept
ISMVL '98 Proceedings of the The 28th International Symposium on Multiple-Valued Logic
A fuzzy DEA/AR approach to the selection of flexible manufacturing systems
Computers and Industrial Engineering
Fuzzy portfolio selection using fuzzy analytic hierarchy process
Information Sciences: an International Journal
Fuzzy efficiency measures in fuzzy DEA/AR with application to university libraries
Expert Systems with Applications: An International Journal
Fuzzy data envelopment analysis and its application to location problems
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Portfolio decision-making genres: A case study
Journal of Engineering and Technology Management
Expert Systems with Applications: An International Journal
An ideal-seeking fuzzy data envelopment analysis framework
Applied Soft Computing
Expert Systems with Applications: An International Journal
A fuzzy DEA and knapsack formulation integrated model for project selection
Computers and Operations Research
Expert Systems with Applications: An International Journal
Information systems project prioritization using data envelopment analysis
Mathematical and Computer Modelling: An International Journal
A fuzzy real option approach for investment project valuation
Expert Systems with Applications: An International Journal
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
The assessment and selection of high-technology projects is a difficult decision making process at the National Aeronautic and Space Administration (NASA). This difficulty is due to the multiple and often conflicting objectives in addition to the inherent technical complexities and valuation uncertainties involved in the assessment process. As such, a systematic and transparent decision making process is needed to guide the assessment process, shape the decision outcomes and enable confident choices to be made. Various methods have been proposed to assess and select high-technology projects. However, applying these methods has become increasingly difficult in the space industry because there are many emerging risks implying that decisions are subject to significant uncertainty. The source of uncertainty can be vagueness or ambiguity. While vague data are uncertain because they lack detail or precision, ambiguous data are uncertain because they are subject to multiple interpretations. We propose a data envelopment analysis (DEA) model with ambiguity and vagueness. The vagueness of the objective functions is modeled by means of multi-objective fuzzy linear programming. The ambiguity of the input and output data is modeled with fuzzy sets and a new @a-cut based method. The proposed models are linear, independent of @a-cut variables, and capable of maximizing the satisfaction level of the fuzzy objectives and efficiency scores, simultaneously. Moreover, these models are capable of generating a common set of multipliers for all projects in a single run. A case study involving high-technology project selection at NASA is used to demonstrate the applicability of the proposed models and the efficacy of the procedures and algorithms.