TY - CHAP
T1 - A qualitative reasoning approach to measure consensus
AU - Roselló, Llorenç
AU - Prats, Francesc
AU - Agell, N.
AU - Sánchez, Mónica
PY - 2011
Y1 - 2011
N2 - This chapter introduces a mathematical framework on the basis of the absolute order-of-magnitude qualitative model. This framework allows to develop a methodology to assess the consensus found among different evaluators who use ordinal scales in group decision-making and evaluation processes. The concept of entropy is introduced in this context and the algebraic structure induced in the set of qualitative descriptions given by evaluators is studied. We prove that it is a weak partial semilattice structure that in some conditions takes the form of a distributive lattice. The definition of the entropy of a qualitatively-described system enables us, on one hand, to measure the amount of information provided by each evaluator and, on the other hand, to consider a degree of consensus among the evaluation committee. The methodology presented is able of managing situations where the assessment given by experts involves different levels of precision. In addition, when there is no consensus within the group decision, an automatic process measures the effort necessary to reach said consensus.
AB - This chapter introduces a mathematical framework on the basis of the absolute order-of-magnitude qualitative model. This framework allows to develop a methodology to assess the consensus found among different evaluators who use ordinal scales in group decision-making and evaluation processes. The concept of entropy is introduced in this context and the algebraic structure induced in the set of qualitative descriptions given by evaluators is studied. We prove that it is a weak partial semilattice structure that in some conditions takes the form of a distributive lattice. The definition of the entropy of a qualitatively-described system enables us, on one hand, to measure the amount of information provided by each evaluator and, on the other hand, to consider a degree of consensus among the evaluation committee. The methodology presented is able of managing situations where the assessment given by experts involves different levels of precision. In addition, when there is no consensus within the group decision, an automatic process measures the effort necessary to reach said consensus.
UR - http://www.scopus.com/inward/record.url?scp=79960715859&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20533-0_14
DO - 10.1007/978-3-642-20533-0_14
M3 - Chapter
AN - SCOPUS:79960715859
SN - 9783642205323
T3 - Studies in Fuzziness and Soft Computing
SP - 235
EP - 261
BT - Consensual Processes
A2 - Herrera-Viedma, Enrique
A2 - Garcia-Lapresta, Jose Luis
A2 - Kacprzyk, Janusz
A2 - Zadrozny, Slawomir
A2 - Fedrizzi, Mario
A2 - Nurmi, Hannu
ER -