Detecting change in vague interpretations of landscapes

By P. Fisher, Charles Arnot, R. Wadsworth, Jane Wellens. 2006

20,317 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law, Media Technology

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Citations in the corpus

Generalizing TOPSIS for fuzzy multiple-criteria group decision-making (2007, background): “In this section, we review some basic notions of fuzzy sets [20–22].”
Bipolar Fuzzy Hypergraphs (2012, background): “The bipolar fuzzy sets constitute a generalization of Zadeh's fuzzy set theory.”
FUZZY SOFT SET THEORY AND ITS APPLICATIONS (2011, background): “In this section, we present the basic definitions of soft set theory [23] and fuzzy set theory [39] that are useful for subsequent discussions.”
Pythagorean Membership Grades in Multicriteria Decision Making (2014, background): “In standard fuzzy set theory, a fuzzy subset A over the space X is defined by a membership function such A(x) ∈ [0, 1] [10].”
Using fuzzy number for measuring quality of service in the hotel industry (2007, background): “Zadeh (1965) stated some basic results linked to the development of fuzzy sets.”
A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, background): “Fuzzy set algebra developed by Zadeh [67] is the formal body of theory that allows the treatment of imprecise estimates in uncertain environments.”
Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making (2014, methodology): “The fuzzy set theory proposed by Zadeh [33] is an important tool to process the fuzzy information, and it has been a rapid development and a wide range of applications.”
Hesitant Fuzzy Linguistic Term Sets for Decision Making (2012, background): “In decision situations, it might happen that an expert hesitates among several values to provide their assessments over an alternative.”
Distance and similarity measures for hesitant fuzzy sets (2011, background): “To deal with such cases, Torra [31] and Torra and Narukawa [32] introduced the concept of hesitant fuzzy set (HFS) considered as a generalization of fuzzy set (FS) [53].”
Fuzzy Parameterized Interval-Valued Fuzzy Soft Set (2011, methodology): “In [12] Zadeh introduced and used interval-valued fuzzy set.”
Survey of clustering algorithms (2005, background): “Generally,idealfeaturesshouldbe ofuseindistinguishingpatternsbelongingtodifferent clusters, immune to noise, easy to extract and interpret.”
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, methodology): “The sigmoidal membership function is probably the most commonly used function in fuzzy set theory (Zadeh, 1965; Eastman, 2004; Liu et al., 2004). although user-defined linear FMFs or crisp membership functions are also sometimes used.”
A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty (2011, methodology): “Some related definitions of fuzzy set theory adapted from [1,3,25,26] are presented as follows.”
A cluster validity index for fuzzy clustering (2005, background): “Since Zadeh (1965) proposed fuzzy sets that produced the idea of allowing to have membership functions to all clusters, fuzzy clustering has been widely studied and applied in a variety of substantive areas (Bezdek, 1981; Ho¨ppner et al., 1999; Yang, 1993; Baraldi and Blonda, 1999a,b).”