Abstract
In multiple-attribute decision making, fuzzy theory is very helpful for dealing with the fuzziness widely existing human judgments. Usually, decision makers obtain their subjective opinions by comparing each pair of decision alternatives and then constructing a rational (consistent) judgment matrix, known as a preference relation (PR) (Saaty, 1980; Xu, 1988) to deal with the ranking of alternatives X = {x 1, x 2 ,..., x n } .
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© 2013 Springer-Verlag GmbH Berlin Heidelberg
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Gong, Z., Lin, Y., Yao, T. (2013). Relevant Theories of Reciprocal Preference and Fuzzy Preference Relations. In: Uncertain Fuzzy Preference Relations and Their Applications. Studies in Fuzziness and Soft Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28448-9_2
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DOI: https://doi.org/10.1007/978-3-642-28448-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28447-2
Online ISBN: 978-3-642-28448-9
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