A5001817720- Multi-Criteria Decision Making
- Rough Sets and Fuzzy Logic
- Cognitive Science and Mapping
- Data Management and Algorithms
- Bayesian Modeling and Causal Inference
- Advanced Text Analysis Techniques
- Fuzzy Logic and Control Systems
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
- Service-Oriented Architecture and Web Services
- Metaheuristic Optimization Algorithms Research
- Advanced Algebra and Logic
- Neural Networks and Applications
- Technology Adoption and User Behaviour
- Opinion Dynamics and Social Influence
- Fuzzy Systems and Optimization
- Logic, Reasoning, and Knowledge
- Speech and dialogue systems
- scientometrics and bibliometrics research
- Cognitive Computing and Networks
- Customer Service Quality and Loyalty
- Advanced Clustering Algorithms Research
- Advanced Data Processing Techniques
- Text and Document Classification Technologies
Universidad de Granada
2009-2024
Instituto Andaluz de Ciencias de la Tierra
2018-2024
De Montfort University
2020
National University of Distance Education
2009-2016
Software (Spain)
2009-2016
Suffolk University Madrid
2009-2016
Yangon University Of Distance Education
2009-2015
Ophthalmology Associates (United States)
2012
Verband Deutscher Maschinen- und Anlagenbau
2009
Agencia de Evaluación de Tecnologías Sanitarias
2009
In the literature, we find that consensus models proposed for group decision making problems are guided by degrees and/or similarity measures consistency . When work in heterogeneous frameworks, have importance associated with experts expressing their different knowledge levels on problem. Usually, applied weighted aggregation operators developed to solve situations. this paper, study another application possibility, i.e., use heterogeneity existing among guide model. Thus, main goal of...
The aim of this paper is to present a decision support system model with two important characteristic: 1) mobile technologies are applied in the process and 2) set alternatives not fixed over time address dynamic situations which solution could change throughout decision-making process. We implement prototype such experts use phones provide their preferences anywhere anytime. To get general system, experts' assumed be represented by different preference representations: fuzzy relations;...
Group decision making is part of every organizational life. It a type participatory process in which multiple makers acting collectively, analyze problems, consider and evaluate several alternatives, select from among the alternatives solution. In such situation, an important issue level agreement or consensus achieved group before obtaining beginning, was meant as full unanimous agreement. Regrettably, this stringent concept many cases utopia. As result, pragmatic point view, it makes more...
This article provides a brief tour through the main fuzzy and linguistic decision-making trends, studies, methodologies, models developed in last 50 years. Fuzzy approaches allow to address complex real-world decision problems where humans exhibit vagueness, imprecision, and/or use natural language assess alternatives, criteria, etc. The aim of this is threefold. First, set theory computing with words-based representation paradigms information, their different levels expressive richness...
The aim of this paper is to propose a procedure estimate missing preference values when dealing with incomplete fuzzy linguistic relations assessed using two-tuple approach. This attempts the information in an individual relation only provided by respective expert. It guided additive consistency property maintain experts' levels. Additionally, we present selection process alternatives group decision making and analyze use our estimation process. © 2008 Wiley Periodicals, Inc.
Most group decision making (GDM) problems based on linguistic approaches use symmetrically and uniformly distributed term sets to express experts' opinions. However, there exist whose assessments need be represented by means of unbalanced sets, i.e. using that are not distributed. The aim this paper is present a consensus model for GDM with fuzzy information. This both methodology deal two criteria, degrees, proximity measures. To do so, we new improving another approach manage information,...