Abstract A crucial, both from theoretical and practical points of view, problem in preference modelling is the number questions to ask decision maker. We focus on incomplete pairwise comparison matrices based graphs whose average degree approximately 3 (or a bit more), i.e., each item compared three others average. In range matrix sizes we considered, $$n=5,6,7,8,9,10$$ <mml:math xmlns:mml="htt...

MOTIVATION Recently, a range of new statistics have become available for the alignment-free comparison of two sequences based on k-tuple word content. Here, we extend these statistics to the simultaneous comparison of more than two sequences. Our suite of statistics contains, first, C(*)1 and C(S)1, extensions of statistics for pairwise comparison of the joint k-tuple content of all the sequenc...

this paper proposes a method for ranking decision making units (dmus) using some of the multiple criteria decision making / multiple attribute decision making          (mcdm /madm) techniques, namely, interval analytic hierarchy process (iahp)          and the technique for order preference by similarity to an ideal solution (topsis).          since the efficiency score of unity is assigned to ...

Using 3 experiments, we examine whether simple pairwise comparison judgments, involving the recognition heuristic (Goldstein & Gigerenzer, 2002), are sensitive to implicit cues to the nature of the comparison required. In Experiments 1 and 2, we show that participants frequently choose the recognized option of a pair if asked to make "larger" judgments but are significantly less likely to choos...

In this paper we propose a full Bayesian probabilistic method to learn preferences from non-transitive pairwise comparison data. Such lack of transitivity easily arises when the number of pairwise comparisons is large, and they are given sequentially without allowing for consistency check. We develop a Bayesian Mallows model able to handle such data through a latent layer of uncertainty which c...

Pairwise comparisons between alternatives are a well-known method for incorporating preferences of a decision-maker. Since these often do not exhibit consistency, a number of inconsistency indices has been introduced in order to measure the deviation from this ideal case. We axiomatically characterize the inconsistency ranking induced by the Koczkodaj inconsistency index by presenting six indep...

Estimating the cost of software is a fundamental and difficult process in information technology (IT) industry. Underestimation causes assigning fewer resources than the project needs and setting an unrealistic schedule. On the other hand, overestimation results in waste of resources and low customer satisfaction. It is clear that, software projects can be prioritized efficiently and resources ...