Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Fuzzy Decision Making Via Multiple Attribute

Authors: Behnaz Zohouri; Zowghiand, Mahdi; Haghighi, Mohsen;

Fuzzy Decision Making Via Multiple Attribute

Abstract

{"references": ["S. Abbasbandy, B. Asady ,\"Ranking of fuzzy numbers by sign\ndistance,\" Information Science. 176 .2405-2416 , 2006.", "A. Azar, Fuzzy management science; IMPSC publication , Iran, 2008, pp 238-358.", "C. A. Bana ,P. vincle, \"Multiple Criteria Decision Aid: an overview,\", Readings in Multiple Criteria Decision Aid , Springer Verlag , Berlin \u2014Heidelberg, 1990.", "M. Barkhordary, T.Allahviranloo, T.Hajjari, (2007). \"Novel ranking method of fuzzy numbers,\" in First Joint Congress on Fuzzy and Intelligent Systems, Ferdowsi University of Mashhad, Iran 29-31,2007.", "F. H. Barron, B.E. Barreh,\"Decision quality using ranked attribute weights,\" Management science 42 , 1515-1523, 1996.", "M. Bender, S. P. Simonovic, \"A fuzzy compromise approach to water resource structures planning under uncertainty,\" Fuzzy Sets and Structures 115: 35-44, 2000.", "G. Bortolan, R. Degam, \"A review of some methods for ranking fuzzy subsets,\" Fuzzy Sets System, 1985,pp15-19.", "J. J. Buckley, \"Ranking alternatives using fuzzy numbers,\" fuzzy sets and structures 15,1985.", "D. Y. Chang, \"Fuzzy analytic hierarchy process; extend analysis method,\" Fuzzy sets and systems, no. 12,1996, pp 43-51.\n[10] L. Cheng, B. Peng, \"The Fuzzy Relation Equation with Union or Intersection Preserving Operator,\" Fuzzy Sets and Structures, no. 25, 1988, pp. 191-204.\n[11] J. Drewniak, \"Fuzzy Relation Calculus,\"UnivSlaski, Katowice,1989 .\n[12] E. Fernandez, R. Olmedo, \"An agent model based on ideas of concordance and discordance for group ranking problems,\" Decision support structures, vol 39(3),2005 .\n[13] G. W. Fischer, \"Range sensitivity of attribute weights in multi-attribute value model,\" organizational behavior & human decision operations 62, 1985 .\n[14] B. Hobbs, \"A comparison of weighting methods in power plant citing,\" decision sciences, vol. 11,1980.\n[15] F. Kong, H. Liu,\"Fuzzy RBF neural network model for multiple attribute decision making,\" Lecture notes in computer science, 2006 .\n[16] P. J. M. Laarhoven,W.Pedrycz, \"A fuzzy extension of saaty's priority theory,\" Fuzzy sets and structures, vol. 11,1983.\n[17] T. S. Liou, M. J. Wang, \"Ranking fuzzy numbers with integral value,\" Fuzzy Sets and Structures, vol. 50,1992, pp. 247-255.\n[18] B. Mareschal, \"Weight stability intervals in multicriteria decision Aid,\" European Journal of operational Research, vol. 33, 1988.\n[19] M. R. Mehregan, H. Safari, \"Combination of fuzzy TOPSIS and fuzzy ranking for multi attribute decision making,\" Lecture notes in computer science, 2006.\n[20] P. Prodanovic, \"Fuzzy set ranking methods and multiple expert decision making,\" project report, 2002.\n[21] T. L. Saaty, \"The analytic hierarchy process,\" McGraw\u2014 Hill, New York ,1980.\n[22] M. Sakawa, \"Fuzzy sets and interactive multiobjective optimization,\" applied, information Technology , plenum Pres , New York,1993.\n[23] E. Takeda, K. 0. Cogger, P.L. Yu, \"Appraising criterion weights using eigenvectors: A comparative study,\"Europian Journal of operational Research, vol. 29, 1998.\n[24] Tien-Chin Wang ,Hsien-Da Lee , \"Developing a fuzzy TOPSIS approach based on subjective weights and objective weights,\" Expert Systems with Applications, vol. 36,2009,pp. 8980-8985 .\n[25] A. VallasMateu, \"C1usDM : A multiple criteria decision making method for heterogeneous data sets,\"Polytechnic University of Catalonia, 2002.\n[26] W. D. Von, W. Edwards, \"Decision Analysis and Behavioral research,\" Cambridge university Press, London, 1986 .\n[27] Y. J. Wang, H. S. Lee, \"Generalizing TOPSIS for fuzzy multiple-criteria group decision making,\" Computers and Mathematics with Applications, vol. 53, 2007, pp. 1762-1772.\n[28] J. B. Yang, Y. M. Wang, D. L. XU, et al, \"The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties\" European journal of operational research, vol. 171(1), 2006 .\n[29] C. H. Yeh, H. P. Deng, \"A practical approach to fuzzy utilities comparison in fuzzy multicriteria analysis,\" International journal of approximate reasoning, vol. 35(2), 2004 .\n[30] L. A. Zadeh, \"Fuzzy sets , information and control\" vol. 8,1965, pp. 338-353\n[31] H. J. Zimerman, \"Fuzzy set theory and its applications,\" Third Edition, Kluwer Academic, 1996 ."]}

In this paper, a method for decision making in fuzzy environment is presented.A new subjective and objective integrated approach is introduced that used to assign weight attributes in fuzzy multiple attribute decision making (FMADM) problems and alternatives and fmally ranked by proposed method.

Keywords

Multiple Attribute Decision Making, Fuzzy Entropy., ranking index, Triangular fuzzy numbers

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 3
    download downloads 3
  • 3
    views
    3
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
3
3
Green