scholarly journals A Multiattribute Decision-Making Framework: VIKOR Method with Complex Spherical Fuzzy N -Soft Sets

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Muhammad Akram ◽  
Maria Shabir ◽  
Arooj Adeel ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Decision Making ◽  
Industrial Development ◽  
Oil Refinery ◽  
Success Factor ◽  
Preference Order ◽  
Vikor Method ◽  
Soft Sets ◽  
Comprehensive Method ◽  
The Stability ◽  
Selection Of

In this paper, we set forth a framework for solving a multiattribute group decision-making (MAGDM) problem, namely, the selection of a firm for participation in a Saudi oil refinery project in Pakistan. This project will prove a key success factor for the economic growth of Pakistan due to its enormous economic impact on the energy sector, industrial development, commerce, transportation, and so on. This multiplicity justifies that several intricate components comprising both intrinsic and external attributes should be adequately evaluated for the selection of such a firm, that is, the formulation of this question as a MAGDM problem. Nonbinary evaluation with two-dimensional ambiguity and uncertainty in the parameters are general concerns in modern literature, and they fit into this problem. Within this context, one of the most superior and amenable theories (complex spherical fuzzy N -soft sets, henceforth C S F N S f S s ) shall be used to formulate a new comprehensive method, known as complex spherical fuzzy N -soft-VIKOR ( C S F N S f -VIKOR) method. According to the general spirit of the benchmark technique, the normalized Euclidean distances and the weights of the attributes are jointly handled, and as consequence, two main features (“maximum group utility” and “minimum individual regret”) are acquired. The coefficient strategy with reference to group utility measure and individual regret measure of opponents are employed for the compromise measure. Armed with this novel tool, we single out the most feasible firm according to the preference order of the alternatives examined by the decision-makers on the subject of linear normalized weights of experts and attributes. Furthermore, a comparative analysis justifies the C S F -VIKOR method, and some results prove its capabilities and validity. Moreover, a sensitivity test certifies the stability of the proposed method.

An algebraic approach to N-soft sets with application in decision-making using TOPSIS

2021 ◽  
pp. 1-21
Author(s):  
Muhammad Shabir ◽  
Rimsha Mushtaq ◽  
Munazza Naz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Algebraic Approach ◽  
Multi Criteria Decision Making ◽  
Commutative Monoids ◽  
Soft Sets ◽  
Algebraic Properties ◽  
Different Types ◽  
Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

scholarly journals Application of Multiple Criteria Decision-Making Methods in Assignment Place Selection

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Mustafa Soba ◽  
Yusuf Ersoy ◽  
Ayşenur Tarakcioğlu Altınay ◽  
Birol Erkan ◽  
Eser Şik
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multicriteria Decision Making ◽  
Preference Order ◽  
Location Selection ◽  
Face To Face ◽  
Importance Ratings ◽  
Promethee Method ◽  
Grey Relational ◽  
Selection Of

The aim of this study is to ensure that the location selection of the officers of the personnel class in the Land Forces Command is effective and needs to be met to determine the criteria used in the selection of the place of appointment or which is the most important and to reveal the preference order to the officers making the choice. In this survey, a face-to-face interview technique and 10 subquestionnaires of captain majors were applied. In the questionnaire technique, the weights of the criteria were determined by using the Max100 method, then the values of the criteria were determined by the Max100 method, and the alternatives were graded and ranked by using grey relational analysis (GRA) method and PROMETHEE method which are multicriteria decision-making techniques. As a result of this analysis, the assignment locations are listed and the importance ratings of the criteria used in the selection of the assignment location are determined.

An Interval Valued Fuzzy Soft Set Based Optimization Algorithm for High Yielding Seed Selection

2018 ◽  
Vol 7 (2) ◽  
pp. 44-61 ◽  
Author(s):  
T. R. Sooraj ◽  
B. K. Tripathy
Keyword(s):  
Decision Making ◽  
Experimental Verification ◽  
Hybrid Models ◽  
Soft Set ◽  
Seed Selection ◽  
Fuzzy Soft Set ◽  
Soft Sets ◽  
New Varieties ◽  
Interval Valued ◽  
Selection Of

As seed selection is a challenging task due to the presence of hundreds of varieties of seeds of each kind, some homework is necessary for selecting suitable seeds as new varieties and kinds of seeds are introduced in the market every year having their own strengths and weaknesses. The complexities involved in the characteristics in the form of parameters results in uncertainties and as a result some uncertainty based model or hybrid models of more than is required to model the scenario and come out with a decision. Soft sets have enough of parameterization tools to support and hence is the most suitable one for such a study. However, as hybrid models are more efficient, the authors select a model called the interval valued fuzzy soft set (IVFSS) and propose a decision-making algorithm for the selection of seeds. A real database of seeds is used for experimental verification of the efficiency of the algorithm. This is the first attempt for such a study. The use of signed priorities and intervals for the membership of values for entities makes the study more efficient and realistic.

A TOPSIS-Based Multi-Criteria Approach to Faculty Recruitment: A Case Study

2013 ◽  
Vol 415 ◽  
pp. 741-744
Author(s):  
D.K. Behera ◽  
Asis Sarkar
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Educational Background ◽  
Strategic Decision ◽  
Success Factor ◽  
Strategy Formulation ◽  
Topsis Technique ◽  
Selection Of

Selection of qualified faculty is a key success factor for any university. The aim of this paper is to support adequately the decision making process for those connected with the faculty selection process. The steps of fuzzy TOPSIS technique are considered, incorporating a new concept for the ranking of the alternative candidates. The candidates are judged on the following criterias such as strategy formulation/strategic decision making capability, change management /change adaptability, communication/interpersonal skill, leadership, risk/crisis management, knowledge of software/software tools , professional experience , and educational background. Five candidates with different skills are taken for the judgment of their fate. They were asked to answer a set of questionnaires made by the experts and after that they were evaluated by the experts board. The real life application on the selection of any executive member/post shows the practical utility of this method.

scholarly journals Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects

2021 ◽  
Vol 13 (3) ◽  
pp. 1477
Author(s):  
Hassan Hashemi ◽  
Parviz Ghoddousi ◽  
Farnad Nasirzadeh
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Sustainability Assessment ◽  
Highway Construction ◽  
Evaluation Process ◽  
Fuzzy Decision Making ◽  
Preference Order ◽  
Intuitionistic Fuzzy ◽  
The Stability ◽  
Sustainability Assessments

The construction industry has been criticized as being a non-sustainable industry that requires effective tools to monitor and improve its sustainability performance. The multiplicity of indicators of the three pillars of sustainability—economic, social, and environmental—complicates construction sustainability assessments for project managers. Therefore, prioritizing and selecting appropriate sustainability indicators (SIs) is essential prior to conducting a construction sustainability assessment. The main purpose of this research is to select the most appropriate set of SIs to address all three pillars of highway sustainability by a new group decision-making approach. The proposed approach accounts for risk attitudes of experts and entropy measures under a triangular intuitionistic fuzzy (TIF) environment, to handle the inherent uncertainty and vagueness that is present throughout the evaluation process. Furthermore, new separation measures and ranking scores are introduced to distinguish the preference order of SIs. Eventually, the approach is implemented in a case study of highway construction projects and the applicability of the approach is examined. To investigate the stability and validity of computational results, a sensitivity analysis is carried out and a comparison is made between the obtained ranking outcomes and the traditional decision-making methods.

scholarly journals Decision Support System in Scholarship Acceptance Selection Using The Vikor Method

2021 ◽  
Vol 2 (2) ◽  
pp. 47-52
Author(s):  
Venny Novita Sari ◽  
Feri Hari Utami ◽  
Asnawati ◽  
Yupianti ◽  
Rizka Tri Alinse ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Compromise Solution ◽  
Vikor Method ◽  
Scholarship Recipients ◽  
Selection Of

This study aims to apply the vikor method in the selection of scholarship receipts at Bengkulu Dehasen University. Designing the process by describing how the VIKOR (Visekriterijumsko Kompromisno Rangeranje) method should be used based on criteria (indications, achievements, credits and living expenses) fulfilled by prospective scholarship recipients in accordance with the provisions of Dehasen Bengkulu University in selecting scholarship acceptance. Based on the results obtained it can be proven that the condition of Acceptable stability in decision making is fulfilled (Namely a smaller value than 1) and Intan P Can be proposed to be a compromise solution which is the best ranking of scholarship recipients ranking by this VIKOR (Visekriterijumsko Kompromisno Rangeranje) method.

scholarly journals COMPARISON OF LINEAR AND VECTOR DATA NORMALIZATION TECHNIQUES IN DECISION MAKING FOR LEARNING QUOTA ASSISTANCE

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Edy Budiman ◽  
Ummul Hairah
Keyword(s):  
Decision Making ◽  
Online Learning ◽  
Data Normalization ◽  
Multi Criteria Decision Making ◽  
Vector Data ◽  
Vikor Method ◽  
Definite Answer ◽  
The Difference ◽  
Benefit Cost ◽  
Selection Of

Data normalization is essential for all kinds of decision-making problems, and a lot of effort has been spent on the development of normalization models in multi-criteria decision making (MCDM), but despite all this, there is no definite answer to the question: Which is the most appropriate technique?. This paper compares the popular normalization techniques: Linear Normalization (LN) and Vector Normalization (VN) using VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) Method. The beneficiaries dataset of learning quota was collected of 399 students sample through observation (drive-test measurements and online questionnaires) to obtain information on criteria data including attributes in online learning during the Covid-19 pandemic. The ranking results for vector vs linear normalization show how ranking is affected. The difference in the selection of the best alternative (rank) shows that there are differences in vector and linear assessments that are influenced by the max-min criterion value which has an impact on the rank- sum results (benefit/cost). This test clearly shows how important it is to use an appropriate (normalized) representation of the model because there will often be a criterion where "the higher the better" while for others (cost) "the lower the better".

scholarly journals Analysis of anti-armor missile systems using the hybrid model AHP-VIKOR method of multi-criteria decision-making

2021 ◽  
Vol 6 (1) ◽  
pp. 37-44
Author(s):  
Marko Radovanović ◽  
Aleksandar Milić ◽  
Milan Stevanović
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Hybrid Model ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Ahp Method ◽  
Compromise Solutions ◽  
Basic Task ◽  
Missile System ◽  
Selection Of

The paper presents the selection of the best anti-armor missile system, as a significant weapon whose basic task is to neutralize tanks, armored combat and non -combat vehicles at different firing distances. The complexity of the problem is conditioned by the different tactical and technical characteristics of anti-tank missile systems and the specific conditions of their application have conditioned the application of the model of multi-criteria decision-making. The selection of the most favorable anti-armor missile system was realized using the hybrid model AHP -VIKOR. Using the AHP method, the values of the criterion coefficients were calculated. The VIKOR method was used to select the most favorable alternative (anti-armor missile system). Based on the obtained results, a set of compromise solutions was defined, on the basis of which the decision maker can decide on the selection of the best anti-armor missile system.

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