Selection of the Most Appropriate Renewable Energy Alternatives by Using a Novel Interval-Valued Neutrosophic ELECTRE I Method

Karaşan, Ali; Kahraman, Cengiz

doi:10.15388/20-infor388

Cited by 13 publications

(5 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Semenas and Bausys [ 160 ] extended the WASPAS method into the IVNS environment. Karasan and Kahraman [ 161 ] employed the ELECTRE I method with IVNSs to select municipal renewable energy alternatives. Ali [ 162 ] proposed interval-valued q-rung orthopair fuzzy soft sets (IV q ROFSSs).…”

Section: Interval Techniques In Mcdmmentioning

confidence: 99%

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

Liao

Wang

Tang

et al. 2023

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

Due to the diversity of information, many decision-making problems cannot be solved based on a single criterion. The complexity of assessment objects and the limitations of individual cognition cause the opinions given by experts uncertain, which further aggravates decision-making difficulties. Although fuzzy sets and intuitionistic fuzzy sets are proposed to express vague information, they still have the problem of losing information. As a tool to express uncertain information, interval techniques can effectively prevent the loss of information and improve the accuracy of decision-making. In this regard, many scholars applied interval analysis techniques and their fuzzy extensions to solve multi-criteria decision-making (MCDM) problems. This study reviews 195-related articles published from 2007 to 2022, and analyzes the research progress of interval analysis techniques and their fuzzy extensions in MCDM problems. Through bibliometrics analyses, publication and citation trends as well as productive countries can be intuitively and quantitatively obtained. Then, we review theories and methods regarding the combination of interval techniques and MCDM methods, and find that interval-valued fuzzy sets are extensively discussed and combined with TOPSIS. Next, real-world applications of these publications are reviewed, and we obtain that interval techniques are mainly used in supply chain selection. Finally, we propose future directions regarding interval techniques in MCDM problems. It is hoped that this study would be helpful for scholars and practitioners to carry out further research.

show abstract

Section: Interval Techniques In Mcdmmentioning

confidence: 99%

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

Liao

Wang

Tang

et al. 2023

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

show abstract

“…In preceding studies, there are a number of scholars who attempted to define various criteria of selecting renewable energy source and to apply MCDM methods in getting the most optimal option, as done by Yazdani-Chamzini et al (2013) for the selection of best renewable energy project in general, Vasković et al (2018) for the selection of optimal solid wood fuel supply, Saba (2019) for a power plant in the city of Rotterdam, and Karaşan & Kahraman (2020) for municipalities. Although the scope of studies are related to energy supply for public services in most cases, several criteria are also valid in an industrial context.…”

Section: Demand Characteristicsmentioning

confidence: 99%

Supply and Demand Characteristics of Palm Kernel Shell as a Renewable Energy Source for Industries

Handaya

Susanto

Indrawan

et al. 2022

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

Depleting stockpile of fossil fuels and rising global temperature due to the greenhouse effect are probably the two most threatening factors to civilization sustainability. Converting biomass into a readily available energy source will help reduce dependency on fossil fuels, whilst at the same time moderating greenhouse gas emmissions due to its carbon neutrality. Palm oil industry is the largest source of biomass in Indonesia and the available quantity to be utilized is growing inline with the steady growth of the generating industry. Among various wastes from palm oil processing, palm kernel shell is an oil palm biomass with high potential to be applied as a source of energy, given its high caloric value and distinctive physical properties. This source of renewable energy can be utilized by industries with thermal conversion processes. As a prerequisite, a feasibility study on technical, environmental, and economic aspects needs to be carried out. From long term perspective, supply, demand, and regulatory situational analysis will also be required. Lastly, a review on the existing palm kernel shell supply chain will help to understand its current situation. Based on literature studies and field observations, we have identified supply and demand characteristics that will be valuable in constructing an effective, efficient, and sustainable supply chain model of palm kernel shell. Understanding these characteristics is a precursor in realizing this massive potential of renewable energy source in the industrial context.

show abstract

“…ELECTRE I is one of the earliest multicriteria evaluation methods developed with other advanced methods that is used to select a desirable alternative that meets both the synchronization option over multiple evaluation criteria and the discrepancy option under any preferred criteria [44]. The principles of ELECTRE I are based on the construction of a contradictory and very heterogeneous set of criteria, and quantitative and qualitative consequences that are not only associated with numerical ordinal scales but also are attached with imprecise, uncertain, and ill-determined knowledge of data [45]. The facility lean layout design selection holds heterogeneous and multi-criteria structure, i.e., qualitative and quantitative criteria, uncertain, and indeterminate knowledge; thus, applying the ELECTRE I method to conduct the evaluation is appropriate.…”

Section: Fuzzy Electrementioning

confidence: 99%

Evaluating Lean Facility Layout Designs Using a BWM-Based Fuzzy ELECTRE I Method

Nghiem

Chu

2022

Axioms

View full text Add to dashboard Cite

Selecting a suitable design for a lean facility layout has become a critical issue for a manufacturing company aiming to remove waste or non-value-added activities and implement the optimal facility arrangement. Many quantitative and qualitative criteria with different weights need to be considered in evaluating lean facility layout designs. To address the issue, a Best-Worst method (BWM) based on fuzzy ELECTRE I is introduced to determine the optimal lean facility layout design, in which the BWM is utilized for generating the criteria weights, and an extension of fuzzy ELECTRE I is introduced to identify the most suitable alternative. The signed distance method is employed to defuzzify the fuzzy numbers and obtain discordance matrix values. Based on the subtraction of discordance values from concordance values, a modified fuzzy ELECTRE I is introduced to evaluate alternative lean facility layout designs that can avoid missing information. A numerical example of the evaluation of lean facility layout designs for a manufacturing company is provided to show the potential of the suggested models. Comparative studies are investigated to illustrate the superiority of the suggested method.

show abstract

Selection of the Most Appropriate Renewable Energy Alternatives by Using a Novel Interval-Valued Neutrosophic ELECTRE I Method

Cited by 13 publications

References 68 publications

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?

Supply and Demand Characteristics of Palm Kernel Shell as a Renewable Energy Source for Industries

Evaluating Lean Facility Layout Designs Using a BWM-Based Fuzzy ELECTRE I Method

Contact Info

Product

Resources

About