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1
تقسیم پاک و ہند کے اردو زبان میں مطالعۂ ہندومت پر اثرات /The Impact of the Partition of India on the Study of Hinduism in the Urdu Language ...
Akram, Muhammad; Ain, Ayesha Qurrat Ul. - : figshare, 2021
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تقسیم پاک و ہند کے اردو زبان میں مطالعۂ ہندومت پر اثرات /The Impact of the Partition of India on the Study of Hinduism in the Urdu Language ...
Akram, Muhammad; Ain, Ayesha Qurrat Ul. - : figshare, 2021
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3
تقسیم پاک و ہند کے اردو زبان میں مطالعۂ ہندومت پر اثرات /The Impact of the Partition of India on the Study of Hinduism in the Urdu Language ...
Akram, Muhammad. - : Humanities Commons, 2020
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4
On m-polar fuzzy graph structures
Akram, Muhammad; Akmal, Rabia; Alshehri, Noura. - : Springer International Publishing, 2016
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5
Towards a Description of Word, an Urdu Corpus-Based Approach ...
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6
Towards a Description of Word, an Urdu Corpus-Based Approach ...
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7
Type-II Fuzzy Decision Support System for Fertilizer
Ashraf, Ather; Akram, Muhammad; Sarwar, Mansoor. - : Hindawi Publishing Corporation, 2014
Abstract: Type-II fuzzy sets are used to convey the uncertainties in the membership function of type-I fuzzy sets. Linguistic information in expert rules does not give any information about the geometry of the membership functions. These membership functions are mostly constructed through numerical data or range of classes. But there exists an uncertainty about the shape of the membership, that is, whether to go for a triangle membership function or a trapezoidal membership function. In this paper we use a type-II fuzzy set to overcome this uncertainty, and develop a fuzzy decision support system of fertilizers based on a type-II fuzzy set. This type-II fuzzy system takes cropping time and soil nutrients in the form of spatial surfaces as input, fuzzifies it using a type-II fuzzy membership function, and implies fuzzy rules on it in the fuzzy inference engine. The output of the fuzzy inference engine, which is in the form of interval value type-II fuzzy sets, reduced to an interval type-I fuzzy set, defuzzifies it to a crisp value and generates a spatial surface of fertilizers. This spatial surface shows the spatial trend of the required amount of fertilizer needed to cultivate a specific crop. The complexity of our algorithm is O(mnr), where m is the height of the raster, n is the width of the raster, and r is the number of expert rules.
Keyword: Research Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032872
http://www.ncbi.nlm.nih.gov/pubmed/24892071
https://doi.org/10.1155/2014/695815
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8
Intuitionistic fuzzy hypergraphs with applications
In: Information sciences. - New York, NY : Elsevier Science Inc. 218 (2013), 182-193
OLC Linguistik
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9
Bipolar fuzzy graphs
In: Information sciences. - New York, NY : Elsevier Science Inc. 181 (2011) 24, 5548-5564
OLC Linguistik
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