The COVID-19 Vaccine Preference for Youngsters Using PROMETHEE-II in the IFSS Environment

Extensive decision-making during the vaccine preparation period is unpredictable. An account of the severity of the disease, the younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk of the COVID-19 pandemic. In this research article, the preference ranking structure for the COVID-19 vaccine is recommended for young people who have been exposed to the effects of certain chronic diseases. Multiple Criteria Decision-Making (MCDM) approach effectively handles this vague information. Furthermore, with the support of the Intuitionistic Fuzzy Soft Set (IFSS), the entries under the new extension of the Preference Ranking Organization Method for Enrichment Evaluation-II (PROMETHEE-II) is suggested for Preference Ranking Structure. The concept of intuitionistic fuzzy soft sets is parametric in nature. IFSS suggests how to exploit an intuitionistic ambiguous input from a decision-maker to make up for any shortcomings in the information provided by the decider. The weight of the inputs is calculated under the Intuitionistic Fuzzy Weighted Average (IFWA) operator, the Simply Weighted Intuitionistic Fuzzy Average (SWIFA) operator, and the Simply Intuitionistic Fuzzy Average (SIFA) operator. An Extended PROMETHEE-based ranking, outranking approach is used, and the resultant are recommended under the lexicographic order. Its sustainability and feasibility are explored for three distinct priority structures and the possibilities of the approach. To demonstrate the all-encompassing intuitionistic fuzzy PROMETHEE approach, a practical application regarding COVID-19 severity in patients is given, and then it is compared to other existing approaches to further explain its feasibility, and the sensitivity of the preference structure is examined according to the criteria.

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Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method

Water Science & Technology ◽

10.2166/wst.2015.490 ◽

2015 ◽

Vol 73 (2) ◽

pp. 283-291 ◽

Cited By ~ 5

Author(s):

Abdelhak Kessili ◽

Saadia Benmamar

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Multiple Criteria Decision Making ◽

Ranking Method ◽

Preference Ranking ◽

Analytic Hierarchy ◽

Promethee Ii ◽

Sewer Rehabilitation ◽

Hierarchy Process ◽

Sewer Networks

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.

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TOPSIS Method Based on the Correlation Coefficient of Interval-Valued Intuitionistic Fuzzy Soft Sets and Aggregation Operators with Their Application in Decision-Making

Journal of Mathematics ◽

10.1155/2021/6656858 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Rana Muhammad Zulqarnain ◽

Xiao Long Xin ◽

Muhammad Saqlain ◽

Waseem Asghar Khan

Keyword(s):

Decision Making ◽

Correlation Coefficient ◽

Weighted Average ◽

Correlation Coefficients ◽

Soft Sets ◽

Intuitionistic Fuzzy ◽

Fuzzy Soft Sets ◽

Interval Valued ◽

Intuitionistic Fuzzy Soft Sets ◽

Weighted Correlation

The correlation coefficient between the two parameters plays a significant part in statistics. Furthermore, the exactness of the assessment of correlation depends upon information from the set of discourses. The data collected for various statistical studies are full of ambiguities. The idea of interval-valued intuitionistic fuzzy soft sets is an extension of intuitionistic fuzzy soft sets that is used to express insufficient evaluation, uncertainty, and anxiety in decision-making. Intuitionistic fuzzy soft sets consider two different types of information, such as membership degree and nonmembership degree. In this paper, the concepts and properties of the correlation coefficient and the weighted correlation coefficient of interval-valued intuitionistic fuzzy soft sets are proposed. A prioritization technique for order preference by similarity to the ideal solution based on interval-valued intuitionistic fuzzy soft sets of correlation coefficients and the weighted correlation coefficient is introduced. We also proposed interval-valued intuitionistic fuzzy soft weighted average and interval-valued intuitionistic fuzzy soft weighted geometric operators and developed decision-making techniques based on the proposed operators. By using the developed techniques, a method for solving decision-making problems is proposed. To ensure the applicability of the proposed methods, an illustrative example is given. Finally, we present a comparison of some existing methods with our proposed techniques.

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Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽

10.3390/en14113200 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3200

Author(s):

Branimir Farkaš ◽

Ana Hrastov

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Open Pit ◽

Design Solution ◽

Mine Design ◽

Promethee Ii ◽

Mining Design ◽

Quarry Mine ◽

Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

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Generalized Choquet Integral Operator of Triangular Atanassov’s Intuitionistic Fuzzy Numbers and Application to Multi-Attribute Group Decision Making

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488516500306 ◽

2016 ◽

Vol 24 (05) ◽

pp. 647-683 ◽

Cited By ~ 5

Author(s):

Jiu-Ying Dong ◽

Li-Lian Lin ◽

Feng Wang ◽

Shu-Ping Wan

Keyword(s):

Decision Making ◽

Integral Operator ◽

Group Decision Making ◽

Fuzzy Numbers ◽

Group Decision ◽

Weighted Average ◽

Intuitionistic Fuzzy Numbers ◽

Intuitionistic Fuzzy ◽

Goal Programming Model ◽

Ordered Weighted Average

The purpose of this paper is to propose a new approach to interactive multi-attribute group decision making with triangular Atanassov's intuitionistic fuzzy numbers (TAIFNs). The contribution of this study is fivefold: (1) Minkowski distance between TAIFNs is firstly defined; (2) We define the possibility attitudinal expected values of TAIFNs and thereby present a novel risk attitudinal ranking method of TAIFNs which can sufficiently consider the risk attitude of decision maker; (3) The weighted average operator (TAIFWA) and generalized ordered weighted average (TAIFGWA) operator of TAIFNs are defined as well as the hybrid ordered weighted average (TAIFHOWA) operator; (4) To study the interaction between attributes, we further develop the generalized Choquet (TAIF-GC) integral operator and generalized hybrid Choquet (TAIF-GHC) integral operator of TAIFNs. Their desirable properties are also discussed; (5) The individual overall value of alternative is obtained by TAIF-GC operator and the collective one is derived through TAIFWA operator. Fuzzy measures of attribute subsets and expert weights are objectively derived through constructing multi-objective optimization model which is transformed into the goal programming model to solve. The system analyst selection example verifies effectiveness of the proposed approach.

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Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

Computer Science and Information Systems ◽

10.2298/csis130109046s ◽

2014 ◽

Vol 11 (2) ◽

pp. 839-857 ◽

Cited By ~ 22

Author(s):

Zeng Shouzhen ◽

Wang Qifeng ◽

José Merigó ◽

Pan Tiejun

Keyword(s):

Decision Making ◽

Weighted Average ◽

Aggregation Operator ◽

Weighted Averaging ◽

Business Decision ◽

Ordered Weighted Averaging ◽

Intuitionistic Fuzzy ◽

Fuzzy Weighted Average ◽

Decision Making Problem ◽

Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

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Performance Evaluation of Hotel Enterprises in Crete

Destination Management and Marketing ◽

10.4018/978-1-7998-2469-5.ch005 ◽

2020 ◽

pp. 60-82

Author(s):

Iraklis Karantonis ◽

George Baourakis ◽

Constantin Zopounidis

Keyword(s):

Economic Growth ◽

Decision Making ◽

Mediterranean Basin ◽

Multiple Criteria Decision Making ◽

Financial Statements ◽

Financial Data ◽

Promethee Ii ◽

Tourist Destinations ◽

Hotel Sector ◽

The Mediterranean Basin

The main purpose of this chapter is to evaluate the financial performance of hotel enterprises in Crete from a Multiple-Criteria Decision Making (MCDM) perspective. Crete is one of the most developed tourist destinations in the Mediterranean basin and the hotel sector plays a major role constituting the main driving power towards economic growth. In this study, the multi-criteria method PROMETHEE II, based on outranking relations, will be implemented based on five different criteria. The original financial data are obtained through financial statements for the recession period 2008-2012. According to the availability of data, the sample consists of 194 hotel companies. The present study provides valuable insights for a number of stakeholders in such a dynamic competitive sector.

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Performance Evaluation of Hotel Enterprises in Crete

Advances in Business Strategy and Competitive Advantage - Factors Affecting Firm Competitiveness and Performance in the Modern Business World ◽

10.4018/978-1-5225-0843-4.ch005 ◽

2017 ◽

pp. 129-161

Author(s):

Iraklis Karantonis ◽

George Baourakis ◽

Constantin Zopounidis

Keyword(s):

Economic Growth ◽

Decision Making ◽

Mediterranean Basin ◽

Multiple Criteria Decision Making ◽

Financial Statements ◽

Financial Data ◽

Promethee Ii ◽

Tourist Destinations ◽

Hotel Sector ◽

The Mediterranean Basin

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Ordered Intuitionistic Fuzzy Soft Sets and Its Application in Decision Making Problem

International Journal of Fuzzy System Applications ◽

10.4018/ijfsa.2018070105 ◽

2018 ◽

Vol 7 (3) ◽

pp. 76-98

Author(s):

Pachaiyappan Muthukumar ◽

Sai Sundara Krishnan Gangadharan

Keyword(s):

Decision Making ◽

Soft Sets ◽

Numerical Example ◽

Intuitionistic Fuzzy ◽

Decision Making Problem ◽

Algebraic Properties ◽

Fuzzy Soft Sets ◽

Intuitionistic Fuzzy Soft Sets

In this article, some new basic operations and results of Ordered Intuitionistic Fuzzy Soft (OIFS) sets, such as equality, complement, subset, union, intersection, OR, and AND operators along with several examples are investigated. Further, based on the analysis of several operations on OIFS sets, numerous algebraic properties and famous De Morgans inclusions and De Morgans laws are established. Finally, using the notions of OIFS sets, an algorithm is developed and implemented in a numerical example.

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