Generator ranking index

Diagnosis of lumbar degenerative disc disease by using Lp-spaces related to generalized interval-valued m-polar neutrosophic choquet integral Operator

International Journal of Biomathematics ◽

10.1142/s1793524521500637 ◽

2021 ◽

pp. 2150063

Author(s):

Masooma Raza Hashmi ◽

Muhammad Riaz

Keyword(s):

Choquet Integral ◽

Score Function ◽

Aggregation Operator ◽

Disc Disease ◽

Neutrosophic Sets ◽

Lumbar Degenerative Disc Disease ◽

Degenerative Disc ◽

Ranking Index ◽

Interval Valued

Innovative and astonishing developments in the field of spine analysis can commence with this manuscript. The lumbar disks ([Formula: see text] to [Formula: see text]) are most commonly impaired by degeneration due to their long-standing degeneration and associated strain. We investigate the indications, purposes, risk factors, and therapies of lumbar degenerated disc disease (L-DDD). We assume that the degeneration of five discs creates many effects, making it difficult to differentiate between the different types of degenerated discs and their seriousness. Since the indeterminacy and falsity portions of science or clinical diagnosis are often ignored. Due to this complexity, the reliability of the patient’s progress report cannot be calculated, nor can the period of therapy be measured. The revolutionary concept of interval-valued m-polar neutrosophic Choquet integral aggregation operator (IVmPNCIAO) is proposed to eliminate these problems. We associate generalized interval-valued m-polar neutrosophic Choquet integral aggregation operator (GIVmPNCIAO) with the statistical formulation of [Formula: see text]-spaces and use it to identify the actual kind of degenerative disc in the lumbar spine. For the classification of interval-valued m-polar neutrosophic numbers (IVMPNNs), we set the ranking index and score function. These concepts are appropriate and necessary in order to better diagnose degeneration by associating it with mathematical modeling. We construct a pre-diagnosis map based on the fuzzy interval [0,1] to classify the types of degenerative discs. We develop an algorithm by using GIVmPNCIAO based on interval-valued m-polar neutrosophic sets (IVMPNNs) to identify the degenerative disc appropriately and to choose the most exquisite treatment for the corresponding degeneration of every patient. Furthermore, we discuss the sensitivity analysis with parameter [Formula: see text] in GIVmPNCIAO to investigate the patient’s improvement record.

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Evaluation of Soybean (Glycin max L.) Genotypes under Drought Stress using Total Ranking Index (TRI)

Journal of Crop Breeding ◽

10.29252/jcb.10.28.83 ◽

2018 ◽

Vol 10 (28) ◽

pp. 83-92

Author(s):

seied hamid yahoueian ◽

pooya arvin ◽

◽

Keyword(s):

Drought Stress ◽

Ranking Index

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The Consumed Natural Diet of Chondrostoma regium (Heckel, 1843) from Tigris River, Salah Al-Deen Province

Baghdad Science Journal ◽

10.21123/bsj.8.1.348-356 ◽

2011 ◽

Vol 8 (1) ◽

pp. 348-356

Author(s):

Baghdad Science Journal

Keyword(s):

Green Algae ◽

Important Food ◽

Food Category ◽

Natural Diet ◽

Fish Size ◽

Blue Green Algae ◽

Tigris River ◽

Size Groups ◽

Ranking Index ◽

Volumetric Methods

The foreguts of a total of 515 fish of Chondrostoma regium (Heckel, 1843) (locally: Bala’aot Malloky) were studied. These fish were collected from Tigris River at Salah Al-Deen Province (between Al-Hagag & Yathrib) for 20 months between March and October of the next year. Detritus, plant in origin materials (19.6%, 23.0% & 24.9%); green and blue green algae, mostly Cladophora, Cosmarium and Merismpedia sp. (17.1%, 12.9% & 12.2%) and diatoms, mostly Diatoma, Chanathes, Amphora and Cyulbella sp. (16.9%, 8.8% & 8.2%) were the main food categories taken by these fishes according to occurrence (O%), volumetric methods (V%) and ranking index (R%). Debris (not part of the diet) took 45.3% of the studied fish foreguts by volume. Detritus was also the most important food category (25.9%, 18.2%, 22.9% & 19.8%, by ranking index) at all sampling stations respectively, and taken by different fish size groups (168-200, 201-300 & 301-350mm).The diet overlaps between these fish size groups and that between different sampling stations were ranged between 0.86-1.0, i.e. fish were mainly feeding on the same food organisms.

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Development and application of an economic ranking index for perennial ryegrass cultivars

Journal of Dairy Science ◽

10.3168/jds.2010-3322 ◽

2011 ◽

Vol 94 (3) ◽

pp. 1627-1639 ◽

Cited By ~ 46

Author(s):

M. McEvoy ◽

M. O’Donovan ◽

L. Shalloo

Keyword(s):

Perennial Ryegrass ◽

Ranking Index

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Asset Ranking Manager: Ranking Index of Components

12th International Conference on Nuclear Engineering, Volume 2 ◽

10.1115/icone12-49473 ◽

2004 ◽

Author(s):

Steven M. Maloney ◽

Tomas A. Morgan ◽

Adam M. Engle

Keyword(s):

Value Added ◽

Maintenance Management ◽

Limited Resources ◽

Important Work ◽

Front End ◽

Computerized Maintenance Management System ◽

Weighted Number ◽

Work Management ◽

Ranking Index ◽

The Web

The Ranking Index of Components (RIC) is an Asset Reliability Manager (ARM), which itself is a Web Enabled front end where plant database information fields from several disparate databases are combined. That information is used to create a specific weighted number (Ranking Index) relating to that components health and risk to the site. The higher the number, the higher priority that any work associated with that component receives. ARM provides site Engineering, Maintenance and Work Control personnel with a composite real time / (current condition) look at the components “risk of not working” to the plant. Information is extracted from the existing Computerized Maintenance management System (CMMS) and specific site applications and processed nightly. ARM helps to ensure that the most important work is placed into the workweeks and the non value added work is either deferred, frequency changed or deleted. This information is on the Web, updated each night, and available for all employees to use. This effort assists the work management specialist when allocating limited resources to the most important work. The use of this tool has maximized resource usage, performing the most critical work with available resources. This has also helped start a review of PM’s that could be deferred or extended earlier in the work management process. The ARM numbers are valued inputs into work scoping for the workweek managers. System and Component Engineers are using ARM to identify the components that are at “risk of failure” and therefore should be place into the appropriate work week schedule. Based on the insights gained from the initial use of this tool, enhancements are being contemplated that will further increase the value of this tool for work management.

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Seasonal change in body fat of the Hyrax Procavia capensis (Pallas, 1766) using a body fat ranking index

Koedoe ◽

10.4102/koedoe.v28i1.535 ◽

1985 ◽

Vol 28 (1) ◽

Author(s):

L.J. Fourie ◽

M.R. Perrin

Keyword(s):

Seasonal Change ◽

Body Fat ◽

Seasonal Variations ◽

Physiological Condition ◽

The Body ◽

Body Fat Content ◽

Total Body Fat ◽

Procavia Capensis ◽

Total Body ◽

Ranking Index

Changes in the body fat content of the hyrax Procavia capensis were used as an indicator of physiological condition. Body fat rankings for the different sexes showed seasonal variations related to physiologically stressful periods (rutting, gestation and lactation). The subjective body fat rankings were correlated significantly with total body fat.

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