Rudolf E. Kálmán quote: “Let me say quite categorically that there is no such thing as a fuzzy concept… We do talk about fuzzy things but they a…”

“There is nothing worse than a sharp image of a fuzzy concept.”

Ansel Adams (1902–1984) American photographer and environmentalist

“What we have at the moment isn't as the old liturgies used to say, 'the sure and certain hope of the resurrection of the dead,' but a vague and fuzzy optimism that somehow things may work out in the end.”

N.T. Wright (1948) Anglican bishop

Source: Surprised by Hope: Rethinking Heaven, the Resurrection, and the Mission of the Church

“The concept of 'measurement' becomes so fuzzy on reflection that it is quite surprising to have it appearing in physical theory at the most fundamental level… does not any analysis of measurement require concepts more fundamental than measurement? And should not the fundamental theory be about these more fundamental concepts?”

John S. Bell (1928–1990) Northern Irish physicist

"Quantum Mechanics for Cosmologists" (1981); published in Quantum Gravity (1981) edited by Christopher Isham, Roger Penrose and Dennis William Sciama, p. 611 - 637

“Categorizing is necessary for humans, but it becomes pathological when the category is seen as definitive, preventing people from considering the fuzziness of boundaries, let alone revising their categories.”

Nassim Nicholas Taleb (1960) Lebanese-American essayist, scholar, statistician, former trader and risk analyst

Source: The Black Swan: The Impact of the Highly Improbable (2007), p.15

“A frequent source of misunderstanding has to do with the interpretation of fuzzy logic. The problem is that the term fuzzy logic has two different meanings. More specifically, in a narrow sense, fuzzy logic, FLn, is a logical system which may be viewed as an extension and generalization of classical multivalued logics. But in a wider sense, fuzzy logic, FLw is almost synonymous with the theory of fuzzy sets.”

Lotfi A. Zadeh (1921–2017) Electrical engineer and computer scientist

In this context, what is important to recognize is that: (a) FLw is much broader than FLn and subsumes FLn as one of its branches; (b) the agenda of FLn is very different from the agendas of classical multivalued logics; and (c) at this juncture, the term fuzzy logic is usually used in its wide rather than narrow sense, effectively equating fuzzy logic with FLw
Zadeh (1995) in Foreword of George J. Klir Fuzzy sets and fuzzy logic: theory and applications.
1990s

“A frequent source of misunderstanding has to do with the interpretation of fuzzy logic. The problem is that the term fuzzy logic has two different meanings. More specifically, in a narrow sense, fuzzy logic, FLn, is a logical system which may be viewed as an extension and generalization of classical multivalued logics. But in a wider sense, fuzzy logic, FLw is almost synonymous with the theory of fuzzy sets. In this context, what is important to recognize is that: (a) FLw is much broader than FLn and subsumes FLn as one of its branches; (b) the agenda of FLn is very different from the agendas of classical multivalued logics; and (c) at this juncture, the term fuzzy logic is usually used in its wide rather than narrow sense, effectively equating fuzzy logic with FLw</sub”

Lotfi A. Zadeh (1921–2017) Electrical engineer and computer scientist

Zadeh (1995) in Foreword of George J. Klir Fuzzy sets and fuzzy logic: theory and applications.
1990s

“I'm optimistic. I see no longer people accepting fuzzy thinking in the world. The change is not that people aren't still saying under-informed things. The change is that if you're in power and you say something under-informed, there are people out there with a voice who will take you to task for having done so.”

Neil deGrasse Tyson (1958) American astrophysicist and science communicator

A Conversation about Communicating Science, © 2007-2011 The Science Network, January 20, 2011 http://www.youtube.com/watch?v=1ulkX-DA9BM,
2010s

“Over the years, many companies have contributed to free software development. Some of these companies primarily developed non-free software, but the two activities were separate; thus, we could ignore their non-free products, and work with them on free software projects. Then we could honestly thank them afterward for their free software contributions, without talking about the rest of what they did.
We cannot do the same with these new companies, because they won't let us. These companies actively invite the public to lump all their activities together; they want us to regard their non-free software as favorably as we would regard a real contribution, although it is not one. They present themselves as "open source companies," hoping that we will get a warm fuzzy feeling about them, and that we will be fuzzy-minded in applying it.
This manipulative practice would be no less harmful if it were done using the term "free software."”

Richard Stallman (1953) American software freedom activist, short story writer and computer programmer, founder of the GNU project

But companies do not seem to use the term "free software" that way; perhaps its association with idealism makes it seem unsuitable. The term "open source" opened the door for this.
1990s, Why "Free Software" is better than "Open Source" (1998)

“The term fuzzy logic is used in this paper to describe an imprecise logical system, FL, in which the truth-values are fuzzy subsets of the unit interval with linguistic labels such as true, false, not true, very true, quite true, not very true and not very fake, etc…. As a consequence, the truth tables and the rules of inference in fuzzy logic are (i) inexact and (ii) dependent on the meaning associated with the primary truth-value true as well as the modifiers very quite.”

George Klir (1932–2016) American computer scientist

Lotfi Asker Zadeh, George Klir, Bo Yuan (1996) Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers. p. 238.

“The term fuzzy logic is used in this paper to describe an imprecise logical system, FL, in which the truth-values are fuzzy subsets of the unit interval with linguistic labels such as true, false, not true, very true, quite true, not very true and not very fake, etc…. As a consequence, the truth tables and the rules of inference in fuzzy logic are (i) inexact and (ii) dependent on the meaning associated with the primary truth-value true as well as the modifiers very quite.”

Lotfi A. Zadeh (1921–2017) Electrical engineer and computer scientist

Lotfi Asker Zadeh, George Jiri Klir, Bo Yuan (1996) Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers. p. 238
1990s

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Rudolf E. Kálmán 5

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