A collection of operators for "fuzzy logic" (a system of soft truths, denoted by values between 0 = false and 1 = true): AND, OR, NOR, NAND, XOR, NOT, Pythagorean NOT, conversions to and from the fuzzy domain. Nothing happens if the green flag is clicked - look inside to see if it's useful to you.data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAA/tJREFUeF7t189K1AEUxfHrjNhSsAxMCg1aSAitWlUkRDuLcjExgTNQrooIolaRvUYQPUHMCwT9wegB2gotaiE4EIU0jcLwC4UKEXUIx+s5fV25+Pm7957zYQb7iqIogh8SSEqgD4BJyTN2IwEAAiE1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbGz3AAYiA1AQCmxs9wAGIgNQEApsbPcABiIDUBAKbG3/3wlZWVeP3qTVy9fqX7PxJ4EoACJf1e8f7Mk/jZGInDU504c2EiJmaOxuTkpNAFW1cF4Db1NRqNWF5ejunp6RgdHT0wJT+9+CK+vRv4s08zPse52ukoj7Xi2p1LMTw8fGB27WYRAG6TUrvdjlqtFmtraxsQ13/vdDoxNzcX/f393WTbk2fev/0QL6c+bXl3EUV8H1uMs7fG4/ajmzEw8BdpTxbZo5cCcIcgFxYWYn5+PgYHBzc91Wq1ol6vR1EUUa1W96iK3V+ztLQUD08+jyPt8Y2Hvxz6GPUHlfg6shi1uzd2f8EBfAKA/wBw/dNxdnY2SqVSVCqVfav18flncfzUsSid+BEz9y7H0NDQvs3u1SAA7vAVvP4pt7q6Gs1mc9NXcLlc7lUf/917ASj2T4ibUAC6NSp2DwDFCnNbF4BujYrdA0CxwtzWBaBbo2L3AFCsMLd1AejWqNg9ABQrzG1dALo1KnYPAMUKc1sXgG6Nit0DQLHC3NYFoFujYvcAUKwwt3UB6Nao2D0AFCvMbV0AujUqdg8AxQpzWxeAbo2K3QNAscLc1gWgW6Ni9wBQrDC3dQHo1qjYPQAUK8xtXQC6NSp2DwDFCnNbF4BujYrdA0CxwtzWBaBbo2L3AFCsMLd1AejWqNg9ABQrzG1dALo1KnYPAMUKc1sXgG6Nit0DQLHC3NYFoFujYvcAUKwwt3UB6Nao2D0AFCvMbV0AujUqdg8AxQpzWxeAbo2K3QNAscLc1gWgW6Ni9wBQrDC3dQHo1qjYPQAUK8xtXQC6NSp2DwDFCnNbF4BujYrdA0CxwtzWBaBbo2L3AFCsMLd1AejWqNg9ABQrzG1dALo1KnbPL5x5SrempjmbAAAAAElFTkSuQmCCA collection of operators for "fuzzy logic" (a system of soft truths, denoted by values between 0 = false and 1 = true): AND, OR, NOR, NAND, XOR, NOT, Pythagorean NOT, conversions to and from the fuzzy domain. Nothing happens if the green flag is clicked - look inside to see if it's useful to you.Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

productproductFuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

product1111Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

11101Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

1110Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively); reporting an output value within the same range. Operators: fuzzy AND, OR, NOR and NAND operate on any number of inputs; fuzzy XOR requires exactly two inputs; fuzzy NOT requires a single input. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

Boolean productFuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively), reporting an output value within the same range. This function converts a fuzzy value to a boolean. Input values >= 0.5 yield: True; otherwise: False.

Fuzzy logic operators, applicable on values (probabilities) between, and including, 0 and 1 (any smaller or larger values will be taken as 0 or 1, respectively), reporting an output value within the same range. Sometimes the ordinary fuzzy NOT is even considered too binary. In these cases the Pythagoran NOT may be used: p^2 + (NOT p)^2 = 1. With input values 0 (False) and 1 (True) these fuzzy logic operators behave like their boolean equivalents.

Calculates a fuzzy logic value between, and including, 0 and 1. A fuzzyfying function (f) is assumed, with f(x) = 0 for x < x0, f(x) = 1 for x > x1. For x0 < x < x1, f(x) is value between 0 and 0, dependent of the specified shape: this may be either linear or (sine-) wave; different shapes ar not supported as yet. The above applies if x0 < x1. If x0 > x1, f(x) = 1 for x < x1, f(x) = 0 for x > x0. If x0 = x1 there is not much fuzziness; f(x) = 0 for x < x0, f(x) = 1 for x > x1 (if you would like to have it the other way: apply (fuzzy) NOT over this function). Fuzzifying functions can easily be combined (via multiplication, or fuzzy AND) to create a more sophisticated characteristic, perhaps with several fuzzy areas. E.g. (fuzzy AND ((fuzzify (0, 1, ...) , (fuzzify (5, 3, ...))) will create a compund function with f(x) = 0 for values of x below 0 and above 5, f(x) = 1 for x between 1 and 3, plus two transition zones.

01linear wave1wave0.5

BooleanBoolean ternary fuzzy (product) pythagoreanANDAND OR NAND NOR

BooleanBoolean ternary fuzzy (product) pythagoreanANDAND OR NAND NORReports a newly created table of any order. The table may subsequently be called with the following INPUTS: 1. request (options: see below) 2. keys - a list of 1 or more text keys (no numbers allowed!) 3. data - the item or data structure to be stored WHAT IT DOES If request = … * ”store”: 2. keys 3. data: will replace any data stored earlier with the same keys. TRUE will be reported. * ”show”: 2. keys If data was stored with the same keys, it will be reported. Otherwise, nothing is reported. * ”remove”: 2. keys If data was stored with the same keys, it will be removed, and TRUE will be reported; otherwise: FALSE. * ”show all”: The full table will be reported. * ”reset”: The table will be restored to its initial (empty) state. * anything else: An error will be raised.

11sub-tablesub-keysvalueshow1errorsub-tablesub-keysremove1sub-tablesub-keysshow allresethandlersstoreshowremoveshow allresetrequestkeysdataCatch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

ca:prova de forma segura reportant _ i si _ reportant _ errCatch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ ca:prova de forma segura _ i si _ _

This block does nothing. Use it when you are calling a reporter for its side effect and don't care about its return value.

de:ignoriere _ ca:ignora _ es:ignorar _ fr:ignore _ pt:ignora _

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caseANDtruestorebase caseORfalseshowBooleanANDrequestkeysdataBooleanAND#1#2#1#2OR#1#2fuzzyAND#1#2OR#1#2ternaryAND#1#2truefalseOR#1#2truefalsebase caseANDtrueORfalsesub-tablesub-keysvalue11sub-tablesub-keys1errorsub-tablesub-keys1storeshowremoveshow allreset