Is there a need for fuzzy logic?

By Lotfi A. Zadeh. Annual Conference on the North American Fuzzy Information Processing Society, 2008

1,444 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/d5c159c6076d5c9ff59cb42962c1cc45e2f76039

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Citations in the corpus

Fuzzy decision making: A bibliometric-based review (2017, neutral): “Bibliometric analysis allows us to evaluate either the impact or inﬂuence, in quality or performance, of scientiﬁc publications through the use of a bibliometric indicators [17].”
Interval-valued intuitionistic fuzzy soft sets and their properties (2010, methodology): “Where the soft set theory is different from traditional tools for dealing with uncertainties, such as the theory of probability [2], the theory of fuzzy sets [3], the theory of intuitionistic fuzzy sets [4,5] and the theory of rough sets [6], is that it is free from the inadequacy of the parameteriz”
On the cognitive process of human problem solving (2010, background): “…of 64 cognitive and information sciences that investigate into 65 the internal information processing mechanisms and pro- 66 cesses of the natural intelligence – human brains and minds 67 – and their engineering applications ( Wang, 2002b, 2003a, 68 2007b; Zadeh, 2008a; Zadeh, 2008b; Zhong, 2006).”
Choquet integrals of weighted intuitionistic fuzzy information (2010, background): “Zadeh’s fuzzy sets [24–26] are a very popular tool to describe imprecise or vague information in a variety of applied fields [4] such as management, engineering, artificial intelligence, data mining, pattern recognition and soft computing.”
A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems (2009, background): “Introduction Fuzzy sets and systems have gone through much development and criticism over the last four decades [42], and nowadays they can be found in a wide range of applications [13].”
A web based consensus support system for group decision making problems and incomplete preferences (2010, background): “This includes, but is not restricted to, the definition of the representation format(s) [45] available for the experts to express their preferences about the possible alternatives in the problem: linguistic [2,19,53] or fuzzy [32,33,51,62,63] formats.”
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? (2019, background): “In regards to the aspects associated with the interpretability of FRBSs, first the “cointension” term must be highlighted, defined between fuzzy sets and regular concepts [34].”
August 2008 | Ieee Computational Intelligence Magazine 11 toward Human Level Machine Intelligence— Is It Achievable? the Need for a Paradigm Shift (neutral): “A concept which plays a pivotal role in fuzzy logic is that of a generalized constraint, (Zadeh 1986, 2008) represented as X isr R, where X is the constrained variable, R is the constraining relation and r is an indexical variable which defines the modality of the constraint, that is, its semantics.”
SciMAT: A new science mapping analysis software tool (2012, background): “For example, suppose that the researcher wants to analyze the fuzzy sets theory (FST) field (Zadeh, 1965, 2008).”
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications (2013, methodology): “Fuzzy logic is also used to admit a low noisy level on the data sets [128].”
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems (2022, background): “Fuzzy logic is a precise logic of imprecision and approximate reasoning [104].”
An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights (2009, background): “This extension has 23 triggered significant theoretical developments and numerous successful industrial 24 applications [17, 41], and provides a powerful alternative other than probability theory to 25 characterize uncertainty, imprecision, and vagueness in many fields [40].”