Classification of campus e-complaint documents using Directed Acyclic Graph Multi-class SVM based on analytic hierarchy process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

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An analytical model to evaluate the performance of associative seed producer organizations in the framework of Plan Semilla - Agrosavia (Colombia)

Agronomía Colombiana ◽

10.15446/agron.colomb.v37n2.76948 ◽

2019 ◽

Vol 37 (2) ◽

pp. 173-188

Author(s):

Leisdy Lázaro-Palacio ◽

Yesid Aranda-Camacho

Keyword(s):

Cluster Analysis ◽

Analytic Hierarchy Process ◽

Seed Production ◽

Analytical Model ◽

Environmental Resources ◽

Analytic Hierarchy ◽

Procedural Rationality ◽

Seed Supply ◽

Hierarchy Process

Low access and use of quality seeds limit agricultural competitiveness. Since 2013, the Corporacion Colombiana de Investigacion Agropecuaria -Agrosavia- initiated “Plan Semilla” with the aim of consolidating nuclei of quality seed producers under associative schemes that guarantee quality seed supply in the regions where the seeds will be used. Between 2013 and 2016, we undertook characterizations of the organizations participating within the framework of Plan Semilla using various qualitative tools for their diagnostics. However, it was not possible to specify the actions that needed to be taken in order to strengthen these organizations. The aim of this research was to generate an analytical model to evaluate the performance of participating organizations that would establish quality seed production nuclei and to validate the model’s use in those organizations that produce cocoa seed in the Plan Semilla framework. An analytic hierarchy process (AHP) was used to construct the model, which is composed of 4 dimensions (technical capacities, environmental resources, organizational capacities,and management capacities) that are related to criteria that are considered decisive for the consolidation of nuclei of quality seed producers. The model was assessed by 11 experts who identified the importance weight of the elements. In the validation, we used indicators from 30 cocoa seed producer organizations participating in Plan Semilla. We calculated additive utility functions and used a cluster analysis to define the thresholds and to establish the level of performance of the organizations. The results have improved the procedural rationality for the classification of organizations that seek to consolidate quality seed production nuclei.

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Taxonomical classification of barriers for scaling agile methods in global software development environment using fuzzy analytic hierarchy process

Applied Soft Computing ◽

10.1016/j.asoc.2020.106122 ◽

2020 ◽

Vol 90 ◽

pp. 106122 ◽

Cited By ~ 9

Author(s):

Mohammad Shameem ◽

Rakesh Ranjan Kumar ◽

Mohammad Nadeem ◽

Arif Ali Khan

Keyword(s):

Software Development ◽

Analytic Hierarchy Process ◽

Global Software Development ◽

Agile Methods ◽

Development Environment ◽

Analytic Hierarchy ◽

Software Development Environment ◽

Taxonomical Classification ◽

Hierarchy Process

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Identifying the Most Effective Geosite Evaluation Models in Iran Using Delphi and Analytic Hierarchy Process Methods

Quaestiones Geographicae ◽

10.2478/quageo-2021-0021 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Moslem Ghasemi ◽

Ezatollah Ghanavati ◽

Jebrail Kazemi

Keyword(s):

Analytic Hierarchy Process ◽

Meta Analysis ◽

Analysis Method ◽

Analytic Hierarchy ◽

Library Research ◽

Frequency Of Use ◽

Statistical Sample ◽

Hierarchy Process ◽

Comprehensive Study

Abstract Despite the large amount of information, including books, articles and pristine images of geotourism, there exists no comprehensive study on the collection and classification of them in Iran yet. In this research, for the modelling of geosite watersheds, 1000 articles were surveyed through library research and the models with the highest frequency of use were identified and analysed among a statistical sample of 451 local papers using the Meta-Analysis method, and then the most efficient ones were identified using Delphi and Analytic Hierarchy Process (AHP) methods. The results of this study showed that while the strengths, weaknesses, opportunities and threats (SWOT), Pralong, Reynard, AHP and Pereira models are in the first to fifth-ranked models with the highest frequency, however, Pralong, SWOT, Reynard, Perira and Comanescu models were considered as the most efficient ones in geosite modelling in Iran.

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