Preference-neutral attribute weights in the journal-ranking problem

A linear programming model is proposed for assigning linear attribute weights in the journal-ranking problem. The constraints in the model are derived solely from any quasi-dominance relations that can be established between the journals. The objective function of the model minimizes the maximum difference between the implied valuations for the pair of journals that define a constraint. In the sense that personal inputs are not introduced, the derived weights are preference neutral. The feasibility of the procedure is demonstrated for two sets of data. By considering various random samples of journals from the larger data set, it is shown that large differences can emerge in the attribute weights and in the journal rankings from different samples of journals, even when the sample sizes are large relative to the population size.

[1]  P. R. Chandy,et al.  Awareness and Evaluation of Selected Marketing Journals Inside and outside the Discipline: An Empirical Study , 1990 .

[2]  Lawrence D. Brown,et al.  An Essay on Statistical Decision Theory , 2000 .

[3]  James Corner,et al.  Characteristics of Decisions in Decision Analysis Practice , 1995 .

[4]  W. R. Buckland,et al.  A Dictionary of Statistical Terms: 3rd Edition , 1978 .

[5]  Lawrence D. Brown,et al.  Minimaxity, More or Less , 1994 .

[6]  José H. Dulá,et al.  Performance evaluation based on multiple attributes with nonparametric frontiers , 1999 .

[7]  W. R. Buckland,et al.  A dictionary of statistical terms , 1958 .

[8]  William E. Strawderman,et al.  Minimaxity , 2000 .

[9]  S. Gupta,et al.  Statistical decision theory and related topics IV , 1988 .

[10]  Spyros Makridakis,et al.  The M3-Competition: results, conclusions and implications , 2000 .

[11]  Victor V. Podinovski.  A DSS for multiple criteria decision analysis with imprecisely specified trade-offs , 1999, Eur. J. Oper. Res..

[12]  Bruce E. Barrett,et al.  Decision quality using ranked attribute weights , 1996 .

[13]  Alan C.B. Tse,et al.  Using mathematical programming to solve large ranking problems , 2001, J. Oper. Res. Soc..

[14]  M. Köksalan,et al.  An approach for finding the most preferred alternative in the presence of multiple criteria , 1992 .

[15]  Jeremy B. Fox,et al.  A multi-method evaluation of journals in the decision and management sciences by US academics , 2000 .

[16]  Nigel Harvey,et al.  Combining forecasts: What information do judges need to outperform the simple average? , 1999 .

[17]  Luis C. Dias,et al.  Additive aggregation with variable interdependent parameters: the VIP analysis software , 2000, J. Oper. Res. Soc..

[18]  Minghe Sun,et al.  Solving Multiple Objective Programming Problems Using Feed-Forward Artificial Neural Networks: The Interactive FFANN Procedure , 1996 .

[19]  Antreas D. Athanassopoulos,et al.  Dominance and potential optimality in multiple criteria decision analysis with imprecise information , 1997 .

[20]  Bernard Roy,et al.  Problems and methods with multiple objective functions , 1971, Math. Program..