Evangelos Triantaphyllou
Evangelos Triantaphyllou
Prof. of Computer Science, LSU and Adjunct Faculty at Tulane's Medical School.
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Zitiert von
Zitiert von
Multi-Criteria Decision Making Methods: A Comparative Study
E Triantaphyllou
Multi-criteria decision making methods: A comparative study, 2000
Using the analytic hierarchy process for decision making in engineering applications: some challenges
E Triantaphyllou, SH Mann
International journal of industrial engineering: applications and practice 2 …, 1995
Multi-criteria decision making: an operations research approach
E Triantaphyllou, B Shu, SN Sanchez, T Ray
Encyclopedia of electrical and electronics engineering 15 (1998), 175-186, 1998
A sensitivity analysis approach for some deterministic multi‐criteria decision‐making methods
E Triantaphyllou, A Sánchez
Decision sciences 28 (1), 151-194, 1997
Ranking irregularities when evaluating alternatives by using some ELECTRE methods
X Wang, E Triantaphyllou
Omega 36 (1), 45-63, 2008
Development and evaluation of five fuzzy multiattribute decision-making methods
E Triantaphyllou, CT Lin
international Journal of Approximate reasoning 14 (4), 281-310, 1996
An examination of the effectiveness of multi-dimensional decision-making methods: A decision-making paradox
E Triantaphyllou, SH Mann
Decision support systems 5 (3), 303-312, 1989
Determining the most important criteria in maintenance decision making
E Triantaphyllou, B Kovalerchuk, L Mann, GM Knapp
Journal of Quality in Maintenance Engineering 3 (1), 16-28, 1997
Two new cases of rank reversals when the AHP and some of its additive variants are used that do not occur with the multiplicative AHP
E Triantaphyllou
Journal of Multi‐Criteria Decision Analysis 10 (1), 11-25, 2001
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou
Expert Systems with Applications, 112821, 2019
The impact of aggregating benefit and cost criteria in four MCDA methods
E Triantaphyllou, K Baig
IEEE transactions on engineering management 52 (2), 213-226, 2005
Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation
B Kovalerchuk, E Triantaphyllou, JF Ruiz, J Clayton
Artificial intelligence in medicine 11 (1), 75-85, 1997
On the evaluation and application of different scales for quantifying pairwise comparisons in fuzzy sets
E Triantaphyllou, FA Lootsma, PM Pardalos, SH Mann
Journal of Multi‐Criteria Decision Analysis 3 (3), 133-155, 1994
An evaluation of the eigenvalue approach for determining the membership values in fuzzy sets
E Triantaphyllou, SH Mann
Fuzzy Sets and Systems 35 (3), 295-301, 1990
Data mining and knowledge discovery approaches based on rule induction techniques
E Triantaphyllou, G Felici
Springer Science & Business Media, 2006
Quantifying data for group technology with weighted fuzzy features
D Ben-Arieh, E Triantaphyllou
International Journal of Production Research 30 (6), 1285-1299, 1992
Interactive learning of monotone Boolean functions
B Kovalerchuk, E Triantaphyllou, AS Deshpande, E Vityaev
Information Sciences 94 (1-4), 87-118, 1996
A computational evaluation of the original and revised analytic hierarchy process
E Triantaphyllou, SH Mann
Computers & industrial engineering 26 (3), 609-618, 1994
Resource planning and a depot location model for electric power restoration
S Wang, BR Sarker, L Mann Jr, E Triantaphyllou
European Journal of Operational Research 155 (1), 22-43, 2004
The impact of overfitting and overgeneralization on the classification accuracy in data mining
HNA Pham, E Triantaphyllou
Soft computing for knowledge discovery and data mining, 391-431, 2008
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