and Trends in the MCDM Field for SolvingActual
Problems - New Hybrid MCDM Model"
Gwo-Hshiung Tzeng, Distinguished Chair Professor
- Graduate Institute of Project Management, Kainan University
- Institute of Management of Technology, National Chiao Tung
How trends in future prospects? Which problems will be improved for satisfying the users'/customers'/social needs in marketing situations and how overall considering problems in dimensions and criteriacan be achieved the aspiration levels? However, we find that the traditional MCDM field ignored some important new concepts and trends, needed some assumptions limit/defects to solve actual real-world problems. Therefore in our researches some new concepts and trends in the MCDM field for solving actual problems have been proposed as follows. First, the traditional model assumes that the criteria in value-created are independent and hierarchical in structure; however, criteria are often interdependent in real-world problems; because "Statistics and Economics are unrealistic in the real world", so DEMATEL technique can be used to find the interrelationship matrix and build a influential network relation map (INRM) for solving the relationship problems in the real world. Second, the relative good solution from the existing alternatives is replaced by the aspiration levels to avoid "Choose the best among inferior choices/alternatives", i.e., avoid "Pick the best apple among a barrel of rotten apples". Third, the emphasis in thefield has shifted from ranking and selection when determining the most preferable approaches toperformance improvement of existing methods based on INRM, because "we need a systematic approach to problem-solving; instead of addressing the systems of the problem, we need to identify the sources of the problem". Fourth, information fusion/aggregation such as fuzzy integrals, basically, a non-additive/super-additive model, has been developed to aggregate the performances. Therefore, in order to overcome the defects of conventional MADM method, we have focused on developing a series of new Hybrid Dynamic Multiple Criteria Decision Making (HDMADM) method for solving the complication dynamic problems in real world and applying to improve the real issues in the trends and prospects. Finally some empirical real cases are illustrated to demonstrate effectiveness of the proposed new hybrid MADM methods. From those real cases, the best performance improvement strategies can be devised to provide the most suitable/reasonable effective and efficient strategies for improving the gaps to reach the aspiration level. Fifth, we proposed a new thinking of MODM models with changeable spaces to help the decision-makers for win-win planning/designing to achieve the aspiration level, which is better than to achieve the ideal point or Pareto optimal solutions.
Keywords: Information technology, Internet communication, hybrid MCDM, MADM, MODM, DEMATEL, DANP, VIKOR, changeable space, aspiration level
Tutorial 2013 Joint Rough Set Symposium (JRS 2013), Halifax, Nova Scotia, October 10-13, 2013. The 2013 Joint Rough Set Symposium (JRS 2013) encapsulates the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013) and the 8th International Conference on Rough Sets and Knowledge Technology (RSKT 2013). It will also host the workshops on Rough Set Theory (RST 2013) and Rough Set Applications (RSA 2013).
03:15 pm - 05:15Tutorial2: Gwo-Hshiung TzengNew Concepts and Trends of MCDM for
Tomorrow: Solving Actual Problems.
Highly Cited Paper (March 13, 2009) ESI
Dear Dr. Gwo-Hshiung
Tzeng, Researcher ID: B-2775-2009
entitled “Compromise solution by MCDM
methods: A comparative analysis of VIKOR and TOPSIS (Authors: Opricovic, S;
Tzeng, GH) as published in the “EUROPEAN JOURNAL OF OPERATIONAL RESEARCH”
on July 16th, 156(2), 445-455, 2004 has been recently identified by Thomson Reuters’Essential Science IndicatorsSM
to be one of the most cited papers
in the field of Economics and Business.
Source: Mathematical and Computer Modelling Volume: 40 Issue: 13
Pages: 1473-1490 Published: 2004
Times Cited: 105 (Scholar
Title: Building credit scoring models using genetic
Author(s): Ong, C. S.; Huang, J. J.; TZENG,
Source: Expert Systems With Applications, Volume 29, Issue 1, July 2005, Pages 41-47.
Times Cited: 88 (Scholar
Multicriteria planning of post-earthquake sustainable reconstruction
Author(s): Opricovic, S.; Tzeng, G. H.
Source: Computer-Aided Civil and Infrastructure
Engineering Volume: 17 Pages: 211-220 Published: 2002 Times
Title: A real-valued genetic algorithm to optimize the
parameters of support vector machine for predicting bankruptcy
Author(s): WU, CH; TZENG, GH; GOO, YJ; et al.
Source: EXPERT SYSTEMS WITH APPLICATIONS Volume: 32, Issue: 2
Published: FEB 2007
Times Cited: 99 (Scholar
Title: Defuzzification within a multicriteria decision
Author(s): Opricovic, S.; Tzeng, G. H.
Source: International Journal of Uncertainty Fuzziness
and Knowledge-Based Systems Volume: 11
Issue: 5 Pages: 635-652
Times Cited: 86(Scholar
Title: Evaluating tourist risks from fuzzy perspectives
Author(s): Tsaur, S. H.; Tzeng, G. H.; Wang, K. C.
Source: Annals of Tourism Research Volume: 24 Issue: 4 Pages: 796-812 Published: 1997
Times Cited: 80(Scholar
Title: Airline safety measurement using a hybrid model
Author(s): Liou, J. J. H.; Tzeng, G. H.; Chang, H. C.
Source: Journal of Air Transport Management
Volume: 13 Issue: 4
Pages: 243-249 Published: 2007
Times Cited: 89 (Scholar
Title: Reconfiguring the innovation policy portfolios
for Taiwan's SIP Mall industry
Author(s): Huang, C. Y.; Shyu, J. Z.; Tzeng, G. H.
Source: Technovation Volume: 27
Pages: 744-765 Published: 2007
Times Cited: 82
Multidimensional data in multidimensional scaling using the analytic network
Author(s): Huang, J. J.; Tzeng, G. H.; Ong, C. S.
Source: Pattern Recognition Letters Volume: 26 Pages: 755-767 Published: 2005
Times Cited: 80
Evaluating sustainable fishing development strategies using a fuzzy MCDM
Author(s): Chiou, Hua-Kai, Tzeng, Gwo-Hshiung and Cheng,
Source: OMEGA - International Journal of
Management Science, Volume 33, Issue 3, June 2005
Pages: 223-234; Published: June
Times Cited: 79(Scholar Google 147)
ResearcherID: B-2775-2009 Other
Names: Gwo-Hshiung Tseng; Gwo-Hsiung
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