I want to use an objective weighting method for weighting my criteria in TOPSIS and this weighting method gave me negative weights for some of the criteria. Can I use these weights? Can the weight of criteria in TOPSIS be a negative value?
Regarding PSI I suggest revising your calculation since weights in this method are the ratio between (1 - deviations from the mean), a positive number, and the total sum of deviations, also positive
Yes, the sum of deviations is always positive but what if this number is higher than 1(1 - a number higher than 1)? In this case, the PSI gave us a negative weight. Am I Right?
Honestly. I don't know the answer to your question, perhaps because I don't work with weights in MCDM problems
However, common sense forces me to ask this question: How can one imagine a negative weight for criteria? Which would be the meaning?
Even if there were, which is their influence in evaluating alternatives? None, because weights are not meant to evaluate alternatives (except objective weights), but just used to make a balance or trade-off between criteria, since all of them add up to 1
I read the paper you mention where the authors assert negativity, as you say, but an assertion needs a justification. Where is it?.
The fact that neither entropy nor SD produces negative weights seems to indicate that they don't exist.
As you probably know Linear Programming doesn't use weights, however, internally, in each iteration tit produces something similar that allows qualifying criteria to select a dominated alternative for deletion, and it is justified.
The authors are very clear when they state 'PSI measures weights according to the degree of convergence in performance rating of each attribute. The motive and rationale of this objective weighting method have not been explained by the authors, while Shannon's entropy and SD methods calculate weights according to the degree of divergence in the performance rating of each attribute. Therefore, decision-makers should be aware of this great contrast when they decided to adopt this approach to obtain the objective weights. Furthermore in PSI, it is possible for PV to be greater than one and consequently results in negative weights, while a negative amount is not acceptable for showing the degree of importance in MCDM'