Machine Intelligence Quotient as a Complex Fuzzy Numeral
An ongoing research shows that machine intelligence quotient (MIQ) is an integrated complex numeral from three standard measures and transformable within the plane and other coordinates. With distinctive scales, technical, personal, and legislative, the multiple perspectives inquiring system (TOP) i...
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Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
2007-04-01
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Online Access: | http://www.math.md/files/csjm/v15-n1/v15-n1-(pp22-37).pdf |
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doaj-93a0193f448a4e7d921e86cd327260652020-11-24T23:41:29ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422007-04-01151(43)2237Machine Intelligence Quotient as a Complex Fuzzy NumeralV. C. I. Ulinwa0Walden University School of Education, USAAn ongoing research shows that machine intelligence quotient (MIQ) is an integrated complex numeral from three standard measures and transformable within the plane and other coordinates. With distinctive scales, technical, personal, and legislative, the multiple perspectives inquiring system (TOP) is used in calibrating, measuring, and interpreting the quotient. Given the homogeny of the linguistic Choquet fuzzy integral and linguistic complex fuzzy set theorems, on which the considered machine intelligence measurement is based, a new MIQ calculus is presented for consideration. The tenets are expected to withstand technological advancement and human interpretation.http://www.math.md/files/csjm/v15-n1/v15-n1-(pp22-37).pdfMachine Intelligence MeasurementMIQMachine Intelligence QuotientMultiple Perspective Inquiring AnalysisTOP |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
V. C. I. Ulinwa |
spellingShingle |
V. C. I. Ulinwa Machine Intelligence Quotient as a Complex Fuzzy Numeral Computer Science Journal of Moldova Machine Intelligence Measurement MIQ Machine Intelligence Quotient Multiple Perspective Inquiring Analysis TOP |
author_facet |
V. C. I. Ulinwa |
author_sort |
V. C. I. Ulinwa |
title |
Machine Intelligence Quotient as a Complex Fuzzy Numeral |
title_short |
Machine Intelligence Quotient as a Complex Fuzzy Numeral |
title_full |
Machine Intelligence Quotient as a Complex Fuzzy Numeral |
title_fullStr |
Machine Intelligence Quotient as a Complex Fuzzy Numeral |
title_full_unstemmed |
Machine Intelligence Quotient as a Complex Fuzzy Numeral |
title_sort |
machine intelligence quotient as a complex fuzzy numeral |
publisher |
Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova |
series |
Computer Science Journal of Moldova |
issn |
1561-4042 |
publishDate |
2007-04-01 |
description |
An ongoing research shows that machine intelligence quotient (MIQ) is an integrated complex numeral from three standard measures and transformable within the plane and other coordinates. With distinctive scales, technical, personal, and legislative, the multiple perspectives inquiring system (TOP) is used in calibrating, measuring, and interpreting the quotient. Given the homogeny of the linguistic Choquet fuzzy integral and linguistic complex fuzzy set theorems, on which the considered machine intelligence measurement is based, a new MIQ calculus is presented for consideration. The tenets are expected to withstand technological advancement and human interpretation. |
topic |
Machine Intelligence Measurement MIQ Machine Intelligence Quotient Multiple Perspective Inquiring Analysis TOP |
url |
http://www.math.md/files/csjm/v15-n1/v15-n1-(pp22-37).pdf |
work_keys_str_mv |
AT vciulinwa machineintelligencequotientasacomplexfuzzynumeral |
_version_ |
1725507099037794304 |