Absent-voting in Norway

Voting and different ranking orders in DEA

Data Envelopment Analysis (DEA) technique now widely use for efficiency evaluation of a set of Decision Making Units (DMUs). As regards of the necessity for ranking efficient units different DEA models presented each of which has advantages and rank efficient units from special aspects. Note that all the existing ranking models have disadvantages, as well and there is not a model in which all t...

Trend analysis in L-fuzzy contexts with absent values

Sometimes we have to work with  $L$-fuzzy context sequences where one or more values are missing. These sequences can represent, among other things, the evolution in time of an $L$-fuzzy context. The studies of tendencies that we have done so far used tools that are not valid when the $L$-fuzzy context has unknown values. In this work we address such situations and we propose new methods to tac...

Ranking units in DEA by using the voting system

Absent Multiple Kernel Learning

Multiple kernel learning (MKL) optimally combines the multiple channels of each sample to improve classification performance. However, existing MKL algorithms cannot effectively handle the situation where some channels are missing, which is common in practical applications. This paper proposes an absent MKL (AMKL) algorithm to address this issue. Different from existing approaches where missing...

The Absent-Minded Driver

The example of the ‘‘absent-minded driver’’ was introduced by Piccione and Rubinstein in the context of games and decision problems with imperfect recall. They claim that a ‘‘paradox’’ or ‘‘inconsistency’’ arises when the decision reached at the ‘‘planning stage’’ is compared with that at the ‘‘action stage.’’ Though the example is provocative and worth having, their analysis is questionable. A...