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Measuring the Consensus in Group Decision by means of Qualitative Reasoning
dc.contributor.author | Roselló Saurí, Llorenç |
dc.contributor.author | Prats Duaygues, Francesc |
dc.contributor.author | Sánchez Soler, Monica |
dc.contributor.author | Agell Jané, Núria |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II |
dc.date.accessioned | 2010-06-23T18:15:16Z |
dc.date.available | 2010-06-23T18:15:16Z |
dc.date.created | 2009-11-09 |
dc.date.issued | 2009-11-09 |
dc.identifier.citation | Rosello, L. [et al.]. Measuring the Consensus in Group Decision by means of Qualitative Reasoning. A: Conferencia de la Asociación Española para la Inteligencia Artificial. "XIII Conferencia de la Asociación Española para la Inteligencia Artificial". Sevilla: 2009, p. 157-168. |
dc.identifier.isbn | 978-84-692-6424-9 |
dc.identifier.uri | http://hdl.handle.net/2117/7824 |
dc.description.abstract | This paper presents a mathematical framework to assess the consensus found among different evaluators who use ordinal scales in group decision-making and evaluation processes. This framework is developed on the basis of the absolute order-of-magnitude qualitative model through the use of qualitative entropy. As such, we study the algebraic structure induced in the set of qualitative descriptions given by evaluators. Our results demonstrate a weak, partial and semi lattice structure that in some conditions takes the form of a distributive lattice. We then define the entropy of a qualitatively-described system. This enables us, on the 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. This new approach is capable of managing situations where the assessment given by experts involves different levels of precision. In addition, when there is no consensus regarding the group decision, an automatic process assesses the effort required to achieve said consensus. |
dc.format.extent | 12 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Qualitat total |
dc.subject.lcsh | Group decision making |
dc.subject.lcsh | Qualitative reasoning |
dc.subject.lcsh | Information theory |
dc.title | Measuring the Consensus in Group Decision by means of Qualitative Reasoning |
dc.type | Conference report |
dc.subject.lemac | Raonament basat en casos |
dc.subject.lemac | Informació, Teoria de la |
dc.subject.lemac | Raonament qualitatiu |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 2556581 |
dc.description.version | Postprint (published version) |
local.citation.author | Rosello, L.; Prats, F.; Sanchez, M.; Agell , N. |
local.citation.contributor | Conferencia de la Asociación Española para la Inteligencia Artificial |
local.citation.pubplace | Sevilla |
local.citation.publicationName | XIII Conferencia de la Asociación Española para la Inteligencia Artificial |
local.citation.startingPage | 157 |
local.citation.endingPage | 168 |