Selecting IS personnel use fuzzy GDSS based on metric distance method

Abstract In this paper we propose a new approach to rank fuzzy numbers by metric distance. For showing our method is a good ranking method, we give two examples to compare with other methods. The paper also developes a computer-based group decision support system, FMCGDSS, to increase the recruiting productivity and to easily compare our method with other fuzzy number ranking methods. The FMCGDSS includes three ranking methods: intuition ranking, Lee and Li's fuzzy mean/spread and our metric distance method to help manager make better decision under fuzzy circumstance. The result indicates that the new method is coincident with the intuition ranking and the Lee and Li's fuzzy mean/spread method on each type weight.

[1]  Thomas J. Crowe,et al.  A fuzzy parametrical forward- and backward-chained two-dimensional attribute decision model , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[2]  Gerhard O. Mensch,et al.  TIMS Studies in the management sciences : Burton V. Dean and Joel L. Goldhar (eds.), Management of Research and Innovation, North-Holland Publishing Company, Amsterdam, Vol. 15, 1980, 300 pp. , 1983 .

[3]  Ching-Hsue Cheng,et al.  A new approach for ranking fuzzy numbers by distance method , 1998, Fuzzy Sets Syst..

[4]  J. Buckley,et al.  A fast method of ranking alternatives using fuzzy numbers , 1989 .

[5]  Izak Benbasat,et al.  Impact of Organizational Maturity on Information System Skill Needs , 1980, MIS Q..

[6]  Ramesh C. Jain.  A procedure for multiple-aspect decision making using fuzzy sets , 1977 .

[7]  James C. Wetherbe,et al.  Key Information Systems Issues for the 1980's , 1984, MIS Q..

[8]  J. Kacprzyk.  Supporting consensus reaching under fuzziness via ordered weighted averaging (OWA) operators , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[9]  James C. Wetherbe,et al.  Key Issues in Information Systems Management: 1994-95 SIM Delphi Results , 1996, MIS Q..

[10]  K. Nakamura.  Preference relations on a set of fuzzy utilities as a basis for decision making , 1986 .

[11]  M. Vila,et al.  A procedure for ranking fuzzy numbers using fuzzy relations , 1988 .

[12]  J. Adamo.  Fuzzy decision trees , 1980 .

[13]  Waldemar Koodziejczyk.  Orlovsky's concept of decision-making with fuzzy preference relation—Further results , 1986 .

[14]  Didier Dubois,et al.  Ranking fuzzy numbers in the setting of possibility theory , 1983, Inf. Sci..

[15]  Robert L. Leitheiser,et al.  MIS Skills for the 1990's: A Survey of MIS Managers' Perceptions , 1992, J. Manag. Inf. Syst..

[16]  H. Kunzi,et al.  Lectu re Notes in Economics and Mathematical Systems , 1975 .

[17]  Slawomir Zadrozny,et al.  An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers , 1988, Decis. Support Syst..

[18]  H. Maeda,et al.  Fuzzy decision analysis in the development of centralized regional energy control systems , 1983 .

[19]  Paul H. Cheney,et al.  Information Systems Skill Requirements: A Survey , 1980, MIS Q..

[20]  E. Lee,et al.  Comparison of fuzzy numbers based on the probability measure of fuzzy events , 1988 .

[21]  Michael L. Donnell,et al.  Fuzzy Decision Analysis , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[22]  R. Yager.  ON CHOOSING BETWEEN FUZZY SUBSETS , 1980 .

[23]  Huibert Kwakernaak,et al.  Rating and ranking of multiple-aspect alternatives using fuzzy sets , 1976, Autom..

[24]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[25]  Shan-Huo Chen.  Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

[26]  Ronald R. Yager,et al.  A procedure for ordering fuzzy subsets of the unit interval , 1981, Inf. Sci..

[27]  T. Bogdanik.  [Use of fuzzy set theory in diagnostics]. , 1995, Polskie Archiwum Medycyny Wewnetrznej.

[28]  H CheneyPaul,et al.  Knowledge, skills and abilities of information systems professionals , 1990 .

[29]  Przemyslaw Grzegorzewski,et al.  Metrics and orders in space of fuzzy numbers , 1998, Fuzzy Sets Syst..

[30]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[31]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[32]  Ramesh Jain,et al.  DECISION MAKING IN THE PRESENCE OF FUZZY VARIABLES , 1976 .

[33]  Hugh J. Watson,et al.  Requisite skills for new MIS hires , 1990, DATB.

[34]  J. Baldwin,et al.  Comparison of fuzzy sets on the same decision space , 1979 .

[35]  Mao-Jiun J. Wang,et al.  Ranking fuzzy numbers with integral value , 1992 .

[36]  Gary I. Green,et al.  Perceived Importance of Systems Analysts' Job Skills, Roles, and Non-Salary Incentives , 1989, MIS Q..

[37]  R. Yager.  On a general class of fuzzy connectives , 1980 .

[38]  Paul H. Cheney,et al.  Knowledge, skills and abilities of information systems professionals: past, present, and future , 1990, Inf. Manag..