Soft-Computing-Based Decision Support Systems on the Web

Dear Colleagues,

In the current global Information Technology scenario, voluminous information from sources like webpages, blogs, social networks, or digital libraries, among others, is available to be processed and exploited. For this reason, new soft computing-based applications on the web are arising every day. Regarding this issue, it is necessary to deal with new problems in already known fields related to intelligent decision support systems such as multicriteria decision making applications, recommender systems, opinion mining, and information retrieval, among others.

This Special Issue on “Soft-Computing-Based Decision Support Systems on the Web” provides a forum to show original research works and real applications mainly related to possible uses of soft computing techniques applied to decision making, recommendation, decision support systems, and mechanisms for extracting, inferring, modeling, representing and handling information from heterogeneous sources available on the Internet.

Topics and themes can include but are not limited to:

• Fuzzy multicriteria decision making on web applications
• Fuzzy preference modeling in intelligent decision support systems
• Soft computing based-information retrieval systems
• Consensus analysis on social networks
• Fuzzy social consensus and decision making
• Intelligent decision-making systems based on soft computing for big data
• Recommender systems based on fuzzy linguistic techniques
• Applications of the multicriteria decision making and recommender systems: labor market intelligence, e-commerce, e-learning, or social media marketing
• Analysis of reputation, credibility, and trust on social media data
• Sentiment analysis/opinion mining in soft computing based-decision support systems
• Aggregation of preferences based on soft computing

Dr. Álvaro Tejeda Lorente
Dr. Carlos Porcel
Dr. Antonio Gabriel López Herrera
Dr. Jesús Serrano-Guerrero
Guest Editors

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