Results 201 to 210 of about 22,403 (231)
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Families of relations modelling preferences under incomplete information
European Journal of Operational Research, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Algorithms for estimating missing elements of incomplete intuitionistic preference relations
International Journal of Intelligent Systems, 2011Preference relations as simple and efficient information description tools have been widely used in practical decision-making problems. Intuitionistic preference relation, which is often met in real problems, is usually utilized to provide the experts' vague or fuzzy opinions over objects under uncertain circumstances.
Zeshui Xu, Xiaoqiang Cai, Eulalia Szmidt
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Incomplete Hesitant Fuzzy Preference Relations in Group Decision Making
International Journal of Fuzzy Systems, 2016In this article, incomplete hesitant fuzzy preference relations are under consideration. In order to estimate expressible missing preferences, a hesitant upper bound condition (hubc) is defined for decision makers presenting incomplete information. With the help of this condition, the estimated preference intensities lie inside the defined domain and ...
Asma Khalid, Ismat Beg
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A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems, 2007Two processes are necessary to solve group decision making problems: A consensus process and a selection process. The consensus reaching process is necessary to obtain a final solution with a certain level of agreement between the experts; and the selection process is necessary to obtain such a final solution.
Enrique Herrera-Viedma +3 more
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AN APPROACH TO GROUP DECISION MAKING BASED ON INCOMPLETE FUZZY PREFERENCE RELATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008In this paper, a new approach is proposed to solve group decision making (GDM) problems where the preference information on alternatives provided by decision makers (DMs) is represented in incomplete fuzzy preference relations. In order to make the collective opinion close each decision maker's opinion as near as possible, an optimization model is ...
Yan-Ping Jiang, Zhi-Ping Fan
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Improving the consistency of incomplete hesitant multiplicative preference relation
OPSEARCH, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sahu, Mamata, Gupta, Anjana
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Applying Incomplete Linguistic Preference Relations to Tender Selection
2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007In many decision-making problems, the decision information is expressed in the form of preference relations. This paper presents incomplete linguistic preference relations to evaluate criteria of tender selection in public office buildings. The proposed method yields decision matrices for making pairwise comparisons by using additive transitivity ...
Tien-Chin Wang +2 more
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An approach to group decision making with heterogeneous incomplete uncertain preference relations
Computers & Industrial Engineering, 2014Abstract For practical group decision making problems, decision makers tend to provide heterogeneous uncertain preference relations due to the uncertainty of the decision environment and the difference of cultures and education backgrounds. Sometimes, decision makers may not have an in-depth knowledge of the problem to be solved and provide ...
Zhen Zhang 0002, Chonghui Guo
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A consensus reaching process under incomplete multiplicative preference relations
International Journal of General Systems, 2012Multiplicative preference relation is the most common tool used to express decision makers' preferences over pairs of criteria. Due to the decision makers' own personal experience, learning, situation, state of mind, or the complexity of the considered decision-making problems, in many cases, the decision makers cannot or are unwilling to provide their
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Building User profiles for Recommender Systems from incomplete preference relations
2007 IEEE International Fuzzy Systems Conference, 2007In recent years, in the e-commerce area new methods and tools have arisen in order to improve and customize the e-commerce Web sites according to users' necessities and tastes. The most successful tool in this field have been the recommender systems. The aim of them is to assist people to find the best alternatives that satisfy their necessities using ...
Luis G. Pérez +2 more
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