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José Luis García-Lapresta

Other affiliations: Universidad Valladolid
Bio: José Luis García-Lapresta is an academic researcher from University of Valladolid. The author has contributed to research in topics: Group decision-making & Voting. The author has an hindex of 21, co-authored 84 publications receiving 1239 citations. Previous affiliations of José Luis García-Lapresta include Universidad Valladolid.


Papers
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Journal ArticleDOI
TL;DR: The neutral aggregation rules that are decomposable and anonymous are determined, which generalizes the simple majority, when individuals have ordinary preferences and collective preferences are reciprocal.
Abstract: This paper studies by means of reciprocal fuzzy binary relations the aggregation of preferences when individuals show their preferences gradually. We have characterized neutral aggregation rules through functions from powers of the unit interval in the unit interval. Furthermore, we have determined the neutral aggregation rules that are decomposable and anonymous. In this class of rules, the collective intensity of preference is the arithmetic mean of the values assigned by a function to the individual intensities of preference. We have also considered the neutral aggregation rules based on quasiarithmetic means. We have established that this class of rules generalizes the simple majority, when individuals have ordinary preferences and collective preferences are reciprocal.

78 citations

Journal ArticleDOI
TL;DR: Flexibility is an important feature of this new class of group decision making procedures related to simple majority, by considering individual intensities of preference by means of linguistic labels.

70 citations

Journal ArticleDOI
13 Aug 2009
TL;DR: A performance appraisal model where the assessments are modelled by means of linguistic information provided by different sets of reviewers in order to manage the uncertainty and subjectivity of such assessments.
Abstract: The performance appraisal is a relevant process to keep and improve the competitiveness of companies in nowadays. In spite of this relevance, the current performance appraisal models are not sufficiently well-defined either designed for the evaluation framework in which they are defined. This paper proposes a performance appraisal model where the assessments are modelled by means of linguistic information provided by different sets of reviewers in order to manage the uncertainty and subjectivity of such assessments. Therefore, the reviewers could express their assessments in different linguistic scales according to their knowledge about the evaluated employees, defining a multi-granular linguistic evaluation framework. Additionally, the proposed model will manage the multi-granular linguistic labels provided by appraisers in order to compute collective assessments about the employees that will be used by the management team to make the final decision about them.

70 citations

Journal ArticleDOI
TL;DR: A fuzzy variant of the Borda count taking into account agents' intensities of preference is obtained by means of score gradation and normalization processes from its original pattern, providing an appropriate scheme in collective decision making.
Abstract: In this paper we consider a fuzzy variantof the Borda count taking into accountagents' intensities of preference. Thisfuzzy Borda count is obtained by means ofscore gradation and normalization processesfrom its original pattern. The advantagesof the Borda count hold, and are evenimproved, providing an appropriate schemein collective decision making. In addition,both classic and fuzzy Borda counts arerelated to approval voting, establishing aunified framework from distinct points ofview.

68 citations

Journal ArticleDOI
TL;DR: In this paper, a class of voting procedures, located between simple and unanimous majorities, is introduced and characterized, where the winning alternative is the one with a number of votes exceeding that obtained by the other in a previously fixed quantity.

65 citations


Cited by
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Book
01 Jan 2007
TL;DR: A broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums.
Abstract: Aggregation of information is of primary importance in the construction of knowledge based systems in various domains, ranging from medicine, economics, and engineering to decision-making processes, artificial intelligence, robotics, and machine learning. This book gives a broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums. It also presents some state-of-the-art techniques, many graphical illustrations and new interpolatory aggregation functions. A particular attention is paid to identification and construction of aggregation functions from application specific requirements and empirical data. This book provides scientists, IT specialists and system architects with a self-contained easy-to-use guide, as well as examples of computer code and a software package. It will facilitate construction of decision support, expert, recommender, control and many other intelligent systems.

1,445 citations

Book
01 Aug 1996
TL;DR: Fuzzy sets as mentioned in this paper are a class of classes in which there may be grades of membership intermediate between full membership and non-membership, i.e., a fuzzy set is characterized by a membership function which assigns to each object its grade of membership.
Abstract: The notion of fuzziness as defined in this paper relates to situations in which the source of imprecision is not a random variable or a stochastic process, but rather a class or classes which do not possess sharply defined boundaries, e.g., the “class of bald men,” or the “class of numbers which are much greater than 10,” or the “class of adaptive systems,” etc. A basic concept which makes it possible to treat fuzziness in a quantitative manner is that of a fuzzy set, that is, a class in which there may be grades of membership intermediate between full membership and non-membership. Thus, a fuzzy set is characterized by a membership function which assigns to each object its grade of membership (a number lying between 0 and 1) in the fuzzy set. After a review of some of the relevant properties of fuzzy sets, the notions of a fuzzy system and a fuzzy class of systems are introduced and briefly analyzed. The paper closes with a section dealing with optimization under fuzzy constraints in which an approach to...

885 citations

Book
01 Jan 2003
TL;DR: The Five Factors of Consistent HR Practices: The Whole Can Be More than the Sum of the Parts as mentioned in this paper, the Five Factors aeo ConsistentHR Practices: Consistent practices: The whole can be more than the sum of the parts of the human body.
Abstract: aeo Introduction aeo The Five Factors aeo Consistent HR Practices: The Whole Can Be More Than the Sum of the Parts aeo Employment and Economics aeo Employment as a Social Relation aeo Voice: Unions and Other Forms of Employee Representation aeo Employment, Society, and the Law aeo Internal Labor Markets aeo High--Commitment HR aeo Performance Evaluation aeo Pay for Performance aeo Compensation Systems: Forms, Bases, and Distribution of Rewards aeo Job Design aeo Staffing and Recruitment aeo Training aeo Promotion and Career Concerns aeo Downsizing aeo Outsourcing aeo HRM in Emerging Companies aeo Organizing HR Appendix A: Transaction Cost Economics Appendix B: Reciprocity and Reputation in Repeated Interactions Appendix C: Agency Theory Appendix D: Market Signaling and Screening

603 citations

Journal ArticleDOI
TL;DR: The 2-tuple fuzzy linguistic representation introduces a computational model that allows the possibility of dealing with linguistic terms in a precise way whenever the linguistic term set is uniformly and symmetrically distributed.
Abstract: Many real problems dealing with qualitative aspects use linguistic approaches to assess such aspects. In most of these problems, a uniform and symmetrical distribution of the linguistic term sets for linguistic modeling is assumed. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets that are not uniformly and symmetrically distributed. The use of linguistic variables implies processes of computing with words (CW). Different computational approaches can be found in the literature to accomplish those processes. The 2-tuple fuzzy linguistic representation introduces a computational model that allows the possibility of dealing with linguistic terms in a precise way whenever the linguistic term set is uniformly and symmetrically distributed. In this paper, we present a fuzzy linguistic methodology in order to deal with unbalanced linguistic term sets. To do so, we first develop a representation model for unbalanced linguistic information that uses the concept of linguistic hierarchy as representation basis and afterwards an unbalanced linguistic computational model that uses the 2-tuple fuzzy linguistic computational model to accomplish processes of CW with unbalanced term sets in a precise way and without loss of information.

525 citations

Journal ArticleDOI
TL;DR: An historical perspective of CW in decision making is presented by examining the pioneer papers in the field along with its most recent applications and different linguistic computational models that have been applied to the decision making field are explored.
Abstract: Computing with Words (CW) methodology has been used in several different environments to narrow the differences between human reasoning and computing. As Decision Making is a typical human mental process, it seems natural to apply the CW methodology in order to create and enrich decision models in which the information that is provided and manipulated has a qualitative nature. In this paper we make a review of the developments of CW in decision making. We begin with an overview of the CW methodology and we explore different linguistic computational models that have been applied to the decision making field. Then we present an historical perspective of CW in decision making by examining the pioneer papers in the field along with its most recent applications. Finally, some current trends, open questions and prospects in the topic are pointed out.

484 citations