Multiple Criteria Decision Analysis under uncertainty in sustainable construction: a neutrosophic modified best-worst method
Multiple Criteria Decision Analysis under uncertainty in sustainable construction: a neutrosophic modified best-worst method

Author: Scherz M.

Publisher: Infinite Study

Published:

Total Pages: 10

ISBN-13:

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Capturing uncertainty in multiple criteria decision analysis (MCDA) is not a new theme but a largely developing topic which is in close connection with uncertainty theories such as fuzzy set and grey systems theories. Due to growing complexity of construction processes mainly because of implementation of sustainability aspects it would be necessary to take advantage of a novel MCDA methodology as an efficient tool to handle the uncertainty in sustainable construction decision making. In this study, we utilise a novel neutrosophic modified best-worst method (NM-BWM) to deal with the uncertainty in decision making in the context of sustainable construction. The method is an integration of neutrosophic set theory (NST) and the modified best-worst method (M-BWM). The NST can provide insights on efficient uncertainty handling of decision makers (DMs) subjective judgements. The BWM is a MCDA method which utilises two vectors of pairwise comparisons (the best criterion to others and others to the worst criterion) to obtain the weights of evaluation criteria. Merits of the BWM include its capability in effectively remedying the inconsistency derived from pairwise comparisons as well as simplicity and less pairwise comparisons compared to other similar methods like analytic hierarchy process (AHP). We show the applicability of the method in a case study with focus on the implementation of sustainable construction.

Comparison of Plithogenic and Neutrosophic Approaches in Decision Making via Best-Worst Method
Comparison of Plithogenic and Neutrosophic Approaches in Decision Making via Best-Worst Method

Author: S. Sudha

Publisher: Infinite Study

Published: 2022-08-01

Total Pages: 14

ISBN-13:

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Decision making is a comprehensive process comprising of uncertainties that shall be handled with the right selection of decision making approaches. Selection of the optimal alternatives and the best criteria is the expected outcome of any decision making strategy. This paper proposes a decision making model based on the plithogenic pythagorean best –worst method which is an extension of the multi-valued neutrosophic approach of BWM. The efficiency of the developed model is determined with the example pertaining to the optimal selection of the teaching methods based on the attribute values or the sub criteria and it is also compared with the neutrosophic approach. In the proposed model plithogenic and pythagorean neutrosophic sets are used for representing the expert’s opinion.

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes
Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Author: Edmundas Kazimieras Zavadskas

Publisher: MDPI

Published: 2020-12-15

Total Pages: 490

ISBN-13: 3039367781

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers propose new approaches and elaborate case studies in the following areas of application: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approaches for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, and multi-criteria decision-making in strategic management based on sustainable criteria.

MULTI-CRITERIA GROUP DECISION MAKING MODEL USING SINGLE-VALUED NEUTROSOPHIC SET
MULTI-CRITERIA GROUP DECISION MAKING MODEL USING SINGLE-VALUED NEUTROSOPHIC SET

Author: Suman Das

Publisher: Infinite Study

Published:

Total Pages: 9

ISBN-13:

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In this article, we introduce some approaches for decision making in the neutrosophic set. The purpose of this study is to develop a neutrosophic multi-criteria group decision-making (MCGDM) model based on hybrid score-accuracy functions for approving a tender for construction under a simplified neutrosophic environment. Five criteria have been selected from experts’ opinions to be considered for the distribution of tender. In this paper, we use the score functions, the accuracy functions, and the hybrid score-accuracy functions of single-valued neutrosophic numbers (SVNNs) and ranking method for SVNNs, those will help for making a decision.

Multi-Criteria Decision Making Approach Using the Fuzzy Measures for Environmental Improvement under Neutrosophic Environment
Multi-Criteria Decision Making Approach Using the Fuzzy Measures for Environmental Improvement under Neutrosophic Environment

Author: Gang Li

Publisher: Infinite Study

Published:

Total Pages: 11

ISBN-13:

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The uncertainty, incomplete and inconsistent information can lead to some difficulties of decision making under the single valued neutrosophic set (SVNS) environment. Information measure plays an important role in SVNS theory, which has received more and more attention in recent years. In this study, we develop a multi-attribute decision making (MADM) method based on the single valued neutrosophic information measures.

A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments
A Hybrid Neutrosophic-Grey Analytic Hierarchy Process Method: Decision-Making Modelling in Uncertain Environments

Author: Amin Vafadarnikjoo

Publisher: Infinite Study

Published:

Total Pages: 18

ISBN-13:

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The analytic hierarchy process (AHP) is recognised as one of the most commonly applied methods in the multiple attribute decision-making (MADM) literature. In the AHP, encompassing uncertainty feature necessitates using suitable uncertainty theories, since dealing efficiently with uncertainty in subjective judgements is of great importance in real-world decision-making problems. The neutrosophic set (NS) theory and grey systems are two reliable uncertainty theories which can bring considerable benefits to uncertain decision-making. Thea im of this study is to improve uncertain decision-making by incorporating advantages of the NS and grey systems theories with the AHP in investigating sustainability through agility readiness evaluation in large manufacturing plants.

A Simplified and Improved Best-Worst Method for Multi-Criteria Decision-Making
A Simplified and Improved Best-Worst Method for Multi-Criteria Decision-Making

Author: Mohit Kumar

Publisher:

Published: 2023

Total Pages: 0

ISBN-13:

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The best-worst method (BWM) is a well-known multi-criteria decision-making (MCDM) method that elicits judgements from a decision maker (DM) in the form of pairwise comparisons. There are two models of BWM that are widely used: non-linear and linear. The main drawback of the non-linear model is the non-uniqueness of the resulting weight set. A linear model gives a unique resulting weight set but with less accuracy than a non-linear model. In this paper, a simplified method is proposed that gives a unique weight set with the same accuracy as non-linear BWM. In the proposed method, first each weight set is associated with some consistent pairwise comparison system and a relationship is established between consistency values and optimal accuracy. Then an algorithm is developed for an optimal modification of the given pairwise comparison system to make it consistent. Here, an optimal modification means that the modified system preserves the original comparison values as much as possible. The weight set associated with this modified consistent pairwise comparison system is the resulting weight set of the proposed model. This weight set is unique and has the same accuracy as the weight sets resulting from the non-linear model of BWM. So if the non-linear model has a unique solution, it is same as the solution of the proposed model. Otherwise the solution of the proposed model is the best among all the solutions of the non-linear model. Thus, the proposed method is an improvement over the BWM. The values of consistency index are also modified based on the proposed method. Finally several examples are taken to illustrate the process and a real-world application (energy efficiency constraints in buildings) is taken to validate the proposed method.

Multi-criteria decision making method based on the single valued neutrosophic sets
Multi-criteria decision making method based on the single valued neutrosophic sets

Author: Minxia Luo

Publisher: Infinite Study

Published:

Total Pages: 15

ISBN-13:

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In this paper, a new tangent similarity between single valued neutrosophic sets is given, which contain tangent similarity [23] as a special case. A best-worst multi-criteria decision making method based on the single valued neutrosophic sets is proposed. To achieve this goal, we design an algorithm to identify the best andworst criteria through computing the outdegrees and in-degrees of the collective single valued neutrosophic preference relation directed network, and then calculate the optimal weight vector of attributes. Moreover, a mathematical model corresponding to the definitions of consistent single valued neutrosophic preference relation is contracted. Finaly, the evaluation values of all alternatives are calculated by the proposed new tangent similarity.

An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method
An Extended Single-Valued Neutrosophic Projection-Based Qualitative Flexible Multi-Criteria Decision-Making Method

Author: Chao Tian

Publisher: Infinite Study

Published:

Total Pages: 16

ISBN-13:

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With respect to multi-criteria decision-making (MCDM) problems in which the criteria denote the form of single-valued neutrosophic sets (SVNSs), and the weight information is also fully unknown, a novel MCDM method based on qualitative flexible multiple criteria (QUALIFLEX) is developed. Firstly, the improved cosine measure of the included angle between two SVNSs is defined. Then, the improved single-valued neutrosophic projection is developed, and the corresponding improved single-valued neutrosophic bidirectional projection and single-valued neutrosophic bidirectional projection difference are investigated. Moreover, the partial ordering relation of SVNSs is developed. Secondly, an extended QUALIFLEX method based on an improved single-valued neutrosophic projection measure is proposed to handle MCDM problems in which the weights of criteria are completely unknown. Finally, an example for selection of a green supplier, as well as a performance comparison analysis, are provided to demonstrate the effectiveness of the proposed method.