scholarly journals Analysis of Faculty Teaching using Multi-criteria Decision Making Approach

2018 ◽  
Vol 7 (2.28) ◽  
pp. 74
Author(s):  
Dhrubajyoti Ghosh ◽  
Anita Pal
Keyword(s):  
Decision Making ◽  
Vital Role ◽  
Student Feedback ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Web Based ◽  
Faculty Teaching ◽  
Neutrosophic Logic ◽  
The Given

In order to maintain a good standardof any college, the institution should follow paper  based  approach  or  web-based approach  to  gather  student  feedback  on  faculty  teaching to maintain the qualities of the faculty. Students have very much concerned about their teachers who have played a vital role in their life in both outside or inside of the institutions which helps them to justify a teacher and it comes in form of their feedback. In this paper, we introduce a ranking method of the given feedback's factors of teacher's performances with the help of multi-criteria decision making approach using neutrosophic logic.  We  use  the  score   and  accuracy functions  and  the  hybrid  score-accuracy  functions  of single  valued  neutrosophic  numbers  (SVNNs)  and ranking  method  for  SVNNs. 

A comparison of student feedback obtained through paper-based and web-based surveys of faculty teaching

2007 ◽  
Vol 38 (6) ◽  
pp. 1085-1101 ◽  
Author(s):  
Ali Ardalan ◽  
Roya Ardalan ◽  
Samuel Coppage ◽  
William Crouch
Keyword(s):  
Student Feedback ◽  
Web Based ◽  
Faculty Teaching

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.

A New Method for Ranking Intuitionistic Fuzzy Numbers

2011 ◽  
Vol 2 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Cui-Ping Wei ◽  
Xijin Tang
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Score Function ◽  
Ranking Method ◽  
New Method ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy Numbers ◽  
Additional Information ◽  
Intuitionistic Fuzzy ◽  
Possibility Degree

In this paper the ranking method for intuitionistic fuzzy numbers is studied. The authors first define a possibility degree formula to compare two intuitionistic fuzzy numbers. In comparison with Chen and Tan’s score function, the possibility degree formula provides additional information for the comparison of two intuitionistic fuzzy numbers. Based on the possibility degree formula, the authors give a possibility degree method to rank intuitionistic fuzzy numbers, which is used to rank the alternatives in multi-criteria decision making problems.

scholarly journals A Fuzzy Trade-Off Ranking Method for Multi-Criteria Decision-Making

Axioms ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Nor Jaini ◽  
Sergey Utyuzhnikov
Keyword(s):  
Decision Making ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Trade Off

scholarly journals An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection

2019 ◽  
Vol 32 (1) ◽  
pp. 219-253 ◽  
Author(s):  
Jagannath Roy ◽  
Haresh Kumar Sharma ◽  
Samarjit Kar ◽  
Edmundas Kazimieras Zavadskas ◽  
Jonas Saparauskas
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Web Based

A TOPSIS Method Under SVTN-Numbers Based on Multi-Attribute Decision-Making Problems

2020 ◽  
pp. 1-42
Author(s):  
Yadigar Polat ◽  
Irfan Deli
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Vital Role ◽  
Ranking Method ◽  
Topsis Method ◽  
Numerical Example ◽  
Multi Attribute Decision Making

Ranking of single valued trapezoidal neutrosophic numbers (SVTN-Numbers) plays a vital role in decision making and other single valued trapezoidal neutrosophic applications. In this chapter, the authors propose a new ranking method of SVTN-Numbers based on distance measure. Firstly, a new distance measure based on cut sets of SVTN-Numbers is developed. Secondly, some desired proportions and results of the distance measure are examined. Finally, the SVTN-Number method based on distance measure is given, and the effectiveness of our algorithm through a numerical example is illustrated.

A New Method for Ranking Intuitionistic Fuzzy Numbers

2013 ◽  
pp. 45-51
Author(s):  
Cui-Ping Wei ◽  
Xijin Tang
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Score Function ◽  
Ranking Method ◽  
New Method ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy Numbers ◽  
Additional Information ◽  
Intuitionistic Fuzzy ◽  
Possibility Degree

In this paper the ranking method for intuitionistic fuzzy numbers is studied. The authors first define a possibility degree formula to compare two intuitionistic fuzzy numbers. In comparison with Chen and Tan’s score function, the possibility degree formula provides additional information for the comparison of two intuitionistic fuzzy numbers. Based on the possibility degree formula, the authors give a possibility degree method to rank intuitionistic fuzzy numbers, which is used to rank the alternatives in multi-criteria decision making problems.

Designing a Multi-Criteria Decision-Making Framework to Reduce the Post-COVID-19 Impact on SMEs

2021 ◽  
pp. 150-167
Author(s):  
Suchismita Satapathy
Keyword(s):  
Decision Making ◽  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Small And Medium Enterprises ◽  
Vital Role ◽  
Domestic Product ◽  
Multi Criteria Decision Making ◽  
Assembly Lines ◽  
Migrant Laborers ◽  
Medium Enterprises

After the agricultural sector, micro, small, and medium enterprises (MSME) play a vital role in the development of India. Micro, small, and medium enterprises (MSME) are contributing about 25% of the country's GDP (gross domestic product) from service activities and 33% to the manufacturing amount produced for India. Micro, small, and medium (MSME) entrepreneurs have been highly impacted due to the COVID-19 pandemic lockdown. Due to lockdown, MSME sector who could not export, nor get their ancillary parts, had problems with transportation leading to the inability to do marketing. Most important migrant laborers rushed to their villages or natives. Hence, without labor or workforce, the assembly lines stopped. In this chapter, an attempt is made to identify the challenges of the MSME sector and deal with the efforts often taken to restart them.

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