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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Main Author: V. C. I. Ulinwa
Format: Article
Language:English
Published: Vladimir Andrunachievici Institute of Mathematics and Computer Science 2007-04-01
Series:Computer Science Journal of Moldova
Subjects:
Online Access:http://www.math.md/files/csjm/v15-n1/v15-n1-(pp22-37).pdf
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author V. C. I. Ulinwa
author_facet V. C. I. Ulinwa
author_sort V. C. I. Ulinwa
collection DOAJ
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.
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spelling doaj.art-93a0193f448a4e7d921e86cd327260652022-12-22T04:23:33ZengVladimir Andrunachievici Institute of Mathematics and Computer ScienceComputer 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
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
title 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_short Machine Intelligence Quotient as a Complex Fuzzy Numeral
title_sort machine intelligence quotient as a complex fuzzy numeral
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
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