An Open Source Software

2021 ◽  
pp. 426-446
Author(s):  
Dipanjan Ghose ◽  
Sreejita Naskar ◽  
Shabbiruddin ◽  
Amit Kumar Roy
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Power Supply ◽  
Solar Power ◽  
Multi Criteria Decision Making ◽  
Solar Power Plant ◽  
Analytic Hierarchy ◽  
Suitability Map ◽  
Power Installations ◽  
Hierarchy Process

Most of the issues regarding power supply occurs due to transmission of power through long distances over diverse and unsuitable landscapes. A solar power plant, if installed within the vicinity of the diverse recipient areas, cuts short the transmission related problems by great numbers and acts like an absolute boon to hilly terrains like Sikkim. The study presented here investigates the land suitability for medium-scale solar power installations in Sikkim by using open source software - Quantum-Geographic Information System (Q-GIS) combined with Multi-criteria Decision Making (MCDM) techniques. Six exclusion criteria are identified to avoid unsuitable areas for plant installation. Analytic Hierarchy Process (AHP) is used to rank the available areas according to their suitability, which have been further presented in a technology-aided suitability map. Such a study greatly reduces the feasibility related issues for investors in such projects to visit every site available for construction of the plant, saving time and money.

An Open Source Software

2019 ◽  
Vol 10 (1) ◽  
pp. 49-68 ◽  
Author(s):  
Dipanjan Ghose ◽  
Sreejita Naskar ◽  
Shabbiruddin ◽  
Amit Kumar Roy
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Power Supply ◽  
Solar Power ◽  
Multi Criteria Decision Making ◽  
Solar Power Plant ◽  
Exclusion Criteria ◽  
Analytic Hierarchy ◽  
Power Installations ◽  
Hierarchy Process

Most of the issues regarding power supply occurs due to transmission of power through long distances over diverse and unsuitable landscapes. A solar power plant, if installed within the vicinity of the diverse recipient areas, cuts short the transmission related problems by great numbers and acts like an absolute boon to hilly terrains like Sikkim. The study presented here investigates the land suitability for medium-scale solar power installations in Sikkim by using open source software - Quantum-Geographic Information System (Q-GIS) combined with Multi-criteria Decision Making (MCDM) techniques. Six exclusion criteria are identified to avoid unsuitable areas for plant installation. Analytic Hierarchy Process (AHP) is used to rank the available areas according to their suitability, which have been further presented in a technology-aided suitability map. Such a study greatly reduces the feasibility related issues for investors in such projects to visit every site available for construction of the plant, saving time and money.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals A consumer-based textile quality scoring model using multi-criteria decision making

2019 ◽  
Vol 14 ◽  
pp. 155892501985477
Author(s):  
Romain Benkirane ◽  
Sébastien Thomassey ◽  
Ludovic Koehl ◽  
Anne Perwuelz
Keyword(s):  
Decision Making ◽  
Quality Criteria ◽  
Quality Score ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Requirements Specifications ◽  
Textile Testing ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.

scholarly journals A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Stock Exchange ◽  
Multi Criteria Decision Making ◽  
Kuala Lumpur ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Data Analytic

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

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