Fuzzy Techniques for Decision Making

Alcantud, José Carlos R.

doi:10.3390/sym10010006

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…It quantitatively compares the variable in a vibrant way and establishes the relationship among variables based on similarity and inconsistency. In the past, GRA was used to evaluate: behaviour of energy consumption (Yu et al, 2011), decision making in the fuzzy system (Alcantud, 2018), supplier selection (Yang & Chen, 2006), portfolio selection (Bijarniya et al, 2020), software project performance evaluation (Shepperd & MacDonell, 2012) , safety assessment of e-commerce system (Radziszewska, 2018), wealth management (Wu et al, 2010) and medical data analysis (Xuerui & Yuguang, 2004). Ertugrul and Prof (2016) stated that grey relational grade is used to assess the degree of relationship among factors.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis

Qazi

Niazi

Basit³

2021

GSSR

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The province of Punjab is considered the breadbasket of Pakistan. This study is aimed to evaluate and hierarchicalize the districts of Punjab based on agricultural indicators. It follows a ranking approach that uses secondary cross-sectional data obtained from Punjab Development Statistics 2016. This study has employed Grey System Theory and used GRA. It is a seminal study that uses a unique methodology that has integrated thirteen different indicators of agricultural development in one mathematical model and assigned a distinct composite grade to every district. Findings revealed that district Bahawalpur and Bahawalnagar have the highest Grey Relational Grade (GRG), hence depict the best agricultural performance in Punjab, whereas district Mianwali has the lowest GRG and accordingly least performance. This research provides insight to the policymakers, which will help them to take corrective measures and/or adjust the agricultural development policies

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Section: Theoretical Frameworkmentioning

confidence: 99%

Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis

Qazi

Niazi

Basit³

2021

GSSR

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“…Sustainable green supplier enterprises were evaluated by the Riaz et al [57]. Alcantud [58] published latest research work related to decision-making process and also developed the series of robust methodologies in a book.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Single‐Valued Neutrosophic Aczel–Alsina Aggregation Operators Based on Known Weights

Latif,

Ullah,

Hussain

et al. 2024

Discrete Dynamics in Nature and Society

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Multiattribute decision making (MADM) approach is a well-known decision-making process utilized in a variety of fields such as solid waste management, renewable energy resources, air quality assurance, hotel location decision, sustainable supplier selection, partner recognition, green supplier enterprises, game theory, construction development authority, and weapon group target estimation. The aggregation operators (AOs) are essential components of the decision-making process and have a great capability to deal with ambiguous and unpredictable information in the different fields of fuzzy environments. In this article, we expressed the theory concepts of single-valued neutrosophic (SVN) sets (SVNS) and also characterized their basic operations. The power aggregation tools are allowed to input arguments to support each other among different arguments. Recently, Aczel–Alisna aggregation tools conquered great attention from several research scholars. We also exposed some reliable operations of Aczel–Alsina aggregation models under the consideration of SVN information. We established a series of new approaches, including the “single-valued neutrosophic Aczel–Alsina power weighted average” (SVNAAPWA) operator and “single-valued neutrosophic Aczel–Alsina power weighted geometric” (SVNAAPWG) operators. To show the effectiveness and compatibility of derived approaches, some prominent characteristics are also established. We constructed a MADM technique to solve an application of engineering and construction materials under consideration of our derived methodologies. An experimental case study is also presented to determine a suitable optimal option from a group of options. To find the flexibility of our proposed work, we provided a comparative study that compares the results of existing AOs with our proposed work. A comprehensive overview is also presented here.

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“…In decision making under fuzzy conditions, the boundaries of the goals and/or of the constraints are not sharply defined. Several methods for decision making under fuzzy conditions have been proposed (Alcantud, 2020;Bellman & Zadeh, 1970;Fahad et al, 2021, Khan et al, 2022, Zhu & Ren, 2022. Maji et al (2002) used a tabular form of soft sets in the form of a binary matrix to introduce a type of parametric decision-making method.…”

Section: Introductionmentioning

confidence: 99%

A Combined Use of Soft Sets and Grey Numbers in Decision Making

Voskoglou¹

2022

JCCE

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Decision making is the process of evaluating multiple alternatives to choose the one satisfying in the best way the required goals. The classical methods for decision making cannot always be applied due to the various forms of existing uncertainty in the corresponding problems. As a result, various methods for decision making under fuzzy conditions have been proposed. In this work, a new parametric decision-making method is introduced using a combination of soft sets and grey numbers as tools, which modifies a method with soft sets proposed by Maji, Roy, and Biswas. The importance of this modification is illustrated by an application concerning the decision for the purchase of a car satisfying in the best possible way the goals put by the candidate buyer.

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Fuzzy Techniques for Decision Making

Cited by 5 publications

References 22 publications

Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis

Assessment of Agricultural Performance of Districts of Punjab Based On Composite Agricultural Indicators Using Grey Relational Analysis

Decision Support System for Single‐Valued Neutrosophic Aczel–Alsina Aggregation Operators Based on Known Weights

A Combined Use of Soft Sets and Grey Numbers in Decision Making

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