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Journal articles on the topic 'Combinative distance-based assessment'

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Published: 7 June 2025
Last updated: 26 June 2025

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1

Hernandez, Cesar, Diego Giral, and Tania Vaca. "Performance evaluation of a proposal for spectrum assignment based on combinative distance-based assessment multicriteria strategy." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 5 (2024): 5308. http://dx.doi.org/10.11591/ijece.v14i5.pp5308-5318.

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Cognitive radio networks offer an alternative to low spectral availability in some frequency bands due to their high demand for frequency channels. This article proposes to improve the spectral assignment based on the combinative distance-based assessment multicriteria algorithm. The metrics obtained are compared with a simple additive weighting algorithm and a RANDOM selection. To establish the algorithm 's performance, five quality-of-service metrics are used: number of handoffs, number of failed handoffs, average bandwidth, average throughput, and cumulative average delay. From the analysis of the results obtained, combinative distance-based assessment (CODAS) presented the best result for the cost metrics with the lowest levels, and for the benefit metrics, the highest levels were obtained.
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Agwa, Ahmed. "Siting hydropower plant by rough set and combinative distance-based assessment." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 3 (2021): 17–22. http://dx.doi.org/10.15199/48.2021.03.03.

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Seker, Sukran. "A novel interval-valued intuitionistic trapezoidal fuzzy combinative distance-based assessment (CODAS) method." Soft Computing 24, no. 3 (2019): 2287–300. http://dx.doi.org/10.1007/s00500-019-04059-3.

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4

Prasetyo, Tejo Dwi, Fatma Agus Setyaningsih, and Suhardi Suhardi. "Sistem Seleksi Penerima Bantuan Program Keluarga Harapan Menggunakan Metode Combinative Distance-Based Assessment (CODAS) di Kecamatan Pontianak Timur." Coding Jurnal Komputer dan Aplikasi 9, no. 03 (2022): 339. http://dx.doi.org/10.26418/coding.v9i03.50467.

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Program Keluarga Harapan merupakan salah satu upaya pemerintah dalam menanggulangi masalah kemiskinan di Indonesia. Program ini memberikan bantuan tunai dan non-tunai kepada Rumah Tangga Sangat Miskin (RTSM), yang memenuhi kriteria dan persyaratan bagi penerima bantuan PKH. Agar penyaluran bantuan sosial ini dapat berjalan lancar dan tepat sasaran, dalam penelitian ini dirancang dan dibangun sebuah sistem yang bisa membantu pengambil keputusan dalam mengolah data yang memiliki banyak kriteria, atau yang sering disebut dengan istilah Multi-Criteria Decision Making (MCDM). Metode Combinative Distance-Based Assessment (CODAS) adalah salah satu metode MCDM yang menggunakan pengukuran jarak Euclidean dan Taxicab alternatif dari solusi ideal-negatif. Dalam penelitian ini metode CODAS berhasil diterapkan dalam sistem untuk memberikan rekomendasi calon penerima bantuan PKH, dengan hasilnya adalah 20 dari 200 peserta dinyatakan masuk desil 1 di mana 17 di antaranya dinyatakan lolos seleksi penerima bantuan PKH oleh sistem. Kata Kunci : Program Keluarga Harapan, Multi Criteria Decision Making, Combinative Distance-Based Assessment
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Kumar, Sunil, Sandeep Kumar Gautam, Ankush Kumar, Rajesh Maithan, and Anil Kumar. "Sustainability assessment of different nanoparticle for heat exchanger applications: an intuitionistic fuzzy combinative distance-based assessment method." Acta Innovations, no. 40 (September 30, 2021): 44–63. http://dx.doi.org/10.32933/actainnovations.40.4.

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The rate at which the conventional energy sources are depleting is a matter of concern, and there have been major attention on this to make the thermal systems environment friendly, efficient, economic, sustainable, technically reliable. Sustainability of five different types of nanoparticles (Ceramic, carbon based, metal based, polymeric, and lipid based) from the perspective of four aspects involving cost, efficiency, technicality and environmental effect, in heat exchangers has been assessed. The analysis is carried out using the intuitionistic fuzzy combative distance based assessment (IFCODAS) method. In order to measure the sustainability of nanoparticles, a set of eleven evaluating criteria have been accredited on the basis of expert opinions and focus group meetings. By amalgamating the intuitionistic fuzzy set (IFS) theory as well as the use of distance-based assessment (CODAS) method, the IFCODAS method has permitted the decision-makers to rate the alternative five nanoparticles pertaining to each criterion. On the basis of the results obtained from IFCODAS method, it is observed that the carbon based nanoparticles have an immense potential to provide significantly reliable and sustainable thermal system than other nanoparticles.
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Biswas, Sanjib, and Dragan Pamucar. "Combinative distance based assessment (CODAS) framework using logarithmic normalization for multi-criteria decision making." Serbian Journal of Management 16, no. 2 (2021): 321–40. http://dx.doi.org/10.5937/sjm16-27758.

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The purpose of this paper is to present an extended Combinative Distance based Assessment (CODAS) framework using logarithmic normalization (LN) scheme. LN is useful in the situations where criteria values differ significantly. This framework is used to carry out a comparative performance based ranking of the popular smartphones in India. The result obtained from this extended version of CODAS method (CODAS-LN) shows consistency with that generated by using some other established multi-criteria decision making (MCDM) approaches. The sensitivity analysis shows considerable stability in the result. Further, it is observed that CODAS-LN is free from rank reversal phenomenon and follows the transitivity property. Findings of the case study suggest that the smartphones with higher computational capability and features rank in top brackets.
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Suriati, Neneng, Dwi Marisa Midyanti, and Uray Ristian. "Implementasi Metode Combinative Distance-Based Assessment (CODAS) Untuk Rekomendasi Rekanan Jasa Konsultansi Berbasis Website." JURIKOM (Jurnal Riset Komputer) 9, no. 5 (2022): 1632. http://dx.doi.org/10.30865/jurikom.v9i5.4947.

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Regional Research, Development and Innovation (PPID) is one of the fields in the Planning, Development, Regional, Research and Development Agency (BAPPEDALITBANG). The PPID sector at the Kubu Raya Regent's Office has a program to select consulting services. However, the implementation of the selection of consulting services is still done manually by giving each participant a score based on predetermined criteria and the files that have been collected. These values are then added up manually and ranked. The basis for assigning value to participants in consulting services needs to be managed so that the assessment is more effective and structured. Storage of administrative files is still in the form of hard files, so it is less effective because it results in several risks, such as file loss and difficulty in searching for files, if needed. This study builds a decision support system using the Combinative Distance-Based Assessment (CODAS) method to recommend consulting service partners. The application of the CODAS method uses 3 criteria, 6 sub-criteria, and 19 sub-criteria. The results of calculations using the CODAS method are sorted from the highest value to the lowest value. From the 30 alternative data used, the first rank is A1 with a value of 4.6217, the second rank is A23 with a value of 4.3527, and the third rank is A27 with a value of 4.2107. Of the 30 alternative data used, the Spearman rank correlation value of 0.9973 is included in the very high positive category
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Ecer, Fatih, Dragan Pamucar, Abbas Mardani, and Melfi Alrasheedi. "Assessment of renewable energy resources using new interval rough number extension of the level based weight assessment and combinative distance-based assessment." Renewable Energy 170 (June 2021): 1156–77. http://dx.doi.org/10.1016/j.renene.2021.02.004.

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Akmal Siahaan, Munawir. "Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Negeri Sipil Menggunakan Metode (Combinative Distance – Based Assessment) Pada Kantor Camat Sei Kepayang." Bulletin of Information Technology (BIT) 3, no. 3 (2022): 195–205. http://dx.doi.org/10.47065/bit.v3i3.336.

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Performance appraisal is carried out to evaluate the performance of existing employees and can also be used by agencies to spur employees to work better, so an agency can give awards to employees who are considered to be outstanding. Awards can be in the form of awards, appointments in positions, promotion, or others, which can give enthusiasm and motivation to employees. The system that runs in the Sei Kepayang sub-district office still has weaknesses, namely the employee appraisal process is still done manually and there is also no system for decision-making that supports employee performance appraisal. In solving these problems, the researcher uses the method (combinative distance-based assessment) which is useful for calculating employee performance appraisals, so that the method (combinative distance-based assessment) can find out which employees get the highest achievement score. while the program to create the system uses a visual basic program. This application will display performance appraisals automatically and the final report can be printed directly, by month and year. This study aims to produce applications that become supporting facilities as a tool for calculating employee performance more effectively
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10

Aziz, Alber S. "Neutrosophic Combinative Distance-based Assessment (CODAS) Method for Evaluating the Financial and Operational Performance of Shipping Companies." International Journal of Advances in Applied Computational Intelligence 4, no. 1 (2023): 28–36. http://dx.doi.org/10.54216/ijaaci.040103.

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Stakeholders must evaluate the efficiency, profitability, risk management, and overall operational effectiveness of shipping businesses by analyzing their financial and operational performance. Revenue, expenses, fleet utilization, accident rates, market share, and competitive advantage are only a few of the parameters that must be analyzed in this procedure. Stakeholders may use this information to make better choices, spot weak spots, and measure up to competitors. An overview of the criteria used to evaluate the financial and operational performance of shipping businesses is provided in this paper, together with an emphasis on the importance of such assessments in enabling strategic decision-making and long-term development within the shipping sector. This paper used the neutrosophic set framework to overcome the uncertain data. The neutrosophic set combined with the combinative distance-based assessment (CODAS) method to evaluate the financial and operational performance of shipping companies. There are ten criteria and eight companies are used in this study. The application shows the results of the proposed method.
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11

Khan, Majid, Muhammad Gulistan, and Mohammed M. Al-Shamiri. "The Approach of Induced Generalized Neutrosophic Cubic Shapley Choquet Integral Aggregation Operators via the CODAS Method to Solve Distance-Based Multicriteria Decision-Making Problems." Journal of Mathematics 2022 (June 1, 2022): 1–20. http://dx.doi.org/10.1155/2022/4898699.

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This study aims to define a conjecture that can handle complex frames of work more efficiently that occurs in daily life problems. In decision-making theory inter-relation of criteria, weights and choice decision-making method subject to the given circumstances which are an important component for appropriate decisions. For this, we define neutrosophic cubic Shapley–Choquet integral (NCSCI) measure; combinative distance-based assessment selection (CODAS) is accomplished over NCSCI and is implemented over a numerical example of a company foreign investment model as an application in decision-making (DM) theory. The neutrosophic cubic set (NCS) is a hybrid of the neutrosophic set (NS) and interval neutrosophic set (INS), which provides a better plate form to handle inconsistent and vague data more conveniently. The novel CODAS method is based on Shapley–Choquet integral and Minkowski distance which contain more information measures than usual criteria weights and distances. The weights of criteria are measured by Shapley–Choquet integral and distance is evaluated by Minkowski distance. The Choquet integral considers the interaction among the criteria, and Shapley considers the overall weight criteria. Motivated by these characteristics NCSCI, we defined two aggregation operators’ induced-generalized neutrosophic cubic Shapley–Choquet integral arithmetic (IGNCSCIA) and operators’ induced-generalized neutrosophic cubic Shapley–Choquet integral geometric (IGNCSCIG) operators. To find the distance between two NC values, Minkowski distance is defined to evaluate neutrosophic cubic combinative distance-based assessment selection (NCCODAS). To examine the feasibility of the proposed method, an example of company investment in a foreign country is considered. To check, the validity of the method, the comparative analysis of the proposed method with other methods is conducted.
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Imanov, Gorkmaz. "Fuzzy Approach to Social Progress Index Assessment." Artificial societies 18, S1 (2023): 0. http://dx.doi.org/10.18254/s207751800028740-3.

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This article examines the problem of determining the proximity of the Social Progress Index (SPI) value for three countries relative to the world average - Azerbaijan, Norway, Kazakhstan using fuzzy theory tools. For this purpose, the fuzzy method of combining distance-based assessments (CODAS - Combinative Distance Assessment) is used. The choice of this method is justified by the fact that it is impossible to collect accurate, reliable and understandable data using classical methods. Calculations are made using the algorithm of the above method proposed in this work. At the final stage, the results obtained are compared with the results calculated by the “Social Progress Imperative” and a conclusion is drawn on their basis. This suggests that the fuzzy CODAS method is proving effective in providing a detailed understanding of social progress, offering a valuable tool for policymakers and analysts in assessing and comparing socio-economic systems.
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13

Cherif, Mouna Regaieg, and Hela Moalla Frikha. "An extension of the codas method based on Interval Rough Numbers for multi-criteria group decision making." Multiple Criteria Decision Making 16 (2021): 23–43. http://dx.doi.org/10.22367/mcdm.2021.16.02.

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This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.
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Alamoodi, Abdullah, Salem Garfan, Muhammet Deveci, et al. "Evaluating agriculture 4.0 decision support systems based on hyperbolic fuzzy-weighted zero-inconsistency combined with combinative distance-based assessment." Computers and Electronics in Agriculture 227 (December 2024): 109618. http://dx.doi.org/10.1016/j.compag.2024.109618.

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15

Garg, Rakesh, and Nandini Kashyap. "Evaluation and selection of cloud deployment models using fuzzy combinative distance-based assessment in an academic institute." International Journal of Cloud Computing 10, no. 3 (2021): 225. http://dx.doi.org/10.1504/ijcc.2021.10041445.

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Kashyap, Nandini, and Rakesh Garg. "Evaluation and selection of cloud deployment models using fuzzy combinative distance-based assessment in an academic institute." International Journal of Cloud Computing 10, no. 3 (2021): 225. http://dx.doi.org/10.1504/ijcc.2021.118013.

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17

Khan, Ayesha, Uzma Ahmad, Adeel Farooq, and Mohammed M. Ali Al-Shamiri. "Combinative distance-based assessment method for decision-making with $ 2 $-tuple linguistic $ q $-rung picture fuzzy sets." AIMS Mathematics 8, no. 6 (2023): 13830–74. http://dx.doi.org/10.3934/math.2023708.

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<abstract><p>Multi-criteria group decision-making (MCGDM) approaches have a substantial effect on decision-making in a range of critical sectors, including science, business, and real-life research. These strategies also efficiently assist researchers in resolving challenges that may arise throughout their study activity. The current work's major purpose is to research and develop the combinative distance-based assessment (CODAS) approach by employing $ 2 $-tuple linguistic $ q $-rung picture fuzzy sets ($ 2 $TL$ q $-RPFSs) as a background. The CODAS technique computes the distances from the negative ideal solutions and ranks the alternatives in increasing order. To compute the normal weights of attributes, the entropy weighting information process is used. Furthermore, two aggregation operators, namely the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein weighted average and the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein order weighted average, are introduced. Our inspiration for employing the notion of $ 2 $TL$ q $-RPFSs is the ability of $ q $-RPFSs to support a wide range of information and the significant qualities of $ 2 $-tuple linguistic term sets to handle qualitative data. Congested transportation networks may be made more efficient by leveraging digital transformation. Real-time traffic management is one solution to the problem of road congestion. As a result of connected autonomous vehicle (CAV) advances, the benefits of real-time traffic management systems have grown dramatically. CAVs can help manage traffic by acting as enforcers. To complement the extended approach, the proposed technique is used to select the best alternative for a real-time traffic management system. The performance of the suggested technique is validated using scenario analysis. The results show that the suggested strategy is efficient and relevant to real-world situations.</p></abstract>
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Peng, Xindong, and Jingguo Dai. "Research on the assessment of classroom teaching quality with q ‐rung orthopair fuzzy information based on multiparametric similarity measure and combinative distance‐based assessment." International Journal of Intelligent Systems 34, no. 7 (2019): 1588–630. http://dx.doi.org/10.1002/int.22109.

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Sharafi, Hamid, Mehdi Soltanifar, and Farhad Hosseinzadeh Lotfi. "Selecting a green supplier utilizing the new fuzzy voting model and the fuzzy combinative distance-based assessment method." EURO Journal on Decision Processes 10 (2022): 100010. http://dx.doi.org/10.1016/j.ejdp.2021.100010.

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Mishra, Arunodaya Raj, Abbas Mardani, Pratibha Rani, Hesam Kamyab, and Melfi Alrasheedi. "A new intuitionistic fuzzy combinative distance-based assessment framework to assess low-carbon sustainable suppliers in the maritime sector." Energy 237 (December 2021): 121500. http://dx.doi.org/10.1016/j.energy.2021.121500.

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Zhou, Jinming, Kevin W. Li, Tomas Baležentis, and Dalia Streimikiene. "Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies." Economic Research-Ekonomska Istraživanja 33, no. 1 (2020): 974–98. http://dx.doi.org/10.1080/1331677x.2020.1736117.

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Perec, Andrzej, Elzbieta Kawecka, Aleksandra Radomska-Zalas, and Frank Pude. "Optimization of Abrasive Waterjet Cutting by Using the CODAS Method with Regard to Interdependent Processing Parameters." Strojniški vestnik - Journal of Mechanical Engineering 69, no. 9-10 (2023): 367–75. http://dx.doi.org/10.5545/sv-jme.2023.647.

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The paper shows performance optimization effects of steel machining by abrasive water jet (AWJ). An innovative combinative distance-based assessment method (CODAS) is implemented for the optimization of cutting parameters like pump pressure, feed rate, and abrasive flow rate over cutting depth, and cut kerf surface roughness. The CODAS algorithm is among those based on measuring the distance between a scenario (in this case processing parameters in terms of performance and quality indicators) - and a certain benchmark. A benchmark is a specific hypothetical set of processing parameters devised or determined from available data. To determine the best set of process control parameters, a CODAS approach was performed with some weighting determinations. To set the initial parameters of the weights, it was proposed to calculate based on entropy weight method (EWM), that measures output value dispersion in cutting process. This technique simplifies multiple compound responses by preserving a single response.
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Xu, Yong. "Research on Investment Environment Performance Evaluation of Blockchain Industry with Intuitionistic Fuzzy CODAS Method." Scientific Programming 2021 (November 22, 2021): 1–8. http://dx.doi.org/10.1155/2021/1387062.

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With global resource waste and environmental pollution becoming increasingly serious, corporate investment environmental performance (CIEP) of blockchain industry has received much attention from researchers over the past decade. As an important part of economic development, enterprises also pay increasing attention to environmental protection and pollution control. CIEP of blockchain industry is regarded as the result of corporate environmental management. Assessing CIEP of blockchain industry can not only make enterprises focus on the environmental protection and management but also promote sustainable social development. Also, it is always viewed as multiattribute group decision making (MAGDM). Thus, a new MAGDM model is used to tackle it. Based on the CODAS (combinative distance-based assessment) method and intuitionistic fuzzy sets (IFSs), this paper designs the distance-based IF-CODAS method to assess CIEP. Eventually, an application about CIEP evaluation is employed to show the superiority of the defined method. The results illustrate that the defined framework is very useful for assessing CIEP.
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Deveci, Muhammet, Ilgin Gokasar, and Pablo R. Brito-Parada. "A comprehensive model for socially responsible rehabilitation of mining sites using Q-rung orthopair fuzzy sets and combinative distance-based assessment." Expert Systems with Applications 200 (August 2022): 117155. http://dx.doi.org/10.1016/j.eswa.2022.117155.

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Badi, Ibrahim Ahmed, Ali M. Abdulshahed, and Ali G. Shetwan. "A CASE STUDY OF SUPPLIER SELECTION FOR A STEELMAKING COMPANY IN LIBYA BY USING THE COMBINATIVE DISTANCE-BASED ASSESSMENT (CODAS) MODEL." Decision Making: Applications in Management and Engineering 1, no. 1 (2018): 01–12. http://dx.doi.org/10.31181/dmame180101b.

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Gurmani, Shahid Hussain, Shangfeng Zhang, Fuad A. Awwad, and Emad A. A. Ismail. "Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making." Engineering Applications of Artificial Intelligence 133 (July 2024): 108165. http://dx.doi.org/10.1016/j.engappai.2024.108165.

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Kausar, Rukhsana, Hafiz Muhammad Athar Farid, Muhammad Riaz, and Nazmiye Gonul Bilgin. "Innovative CODAS Algorithm for q-Rung Orthopair Fuzzy Information and Cancer Risk Assessment." Symmetry 15, no. 1 (2023): 205. http://dx.doi.org/10.3390/sym15010205.

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Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment is important for legal and regulatory reasons, for cancer prevention, and to avoid the risks. The approach for assessing cancer risk based on the q-rung orthopair fuzzy set (q-ROFS) is described. The technique is predicated on a multifactor evaluation of the likelihood of a cancerous. q-ROFS is a robust approach for modeling uncertainties in multicriteria decision making (MCDM). The combinative distance-based assessment (CODAS) technique integrates two separate approaches, namely the “simple additive weighting” (SAW) method and the “weighted product method (WPM)”. In this study, the CODAS approach is extended to the q-rung orthopair fuzzy framework with application to cancer risk assessment. Additionally, the symmetry of the optimal decision in cancer risk assessment is carried out by a comparison analysis of the suggested model with some existing models.
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Karagoz, Selman, Muhammet Deveci, Vladimir Simic, Nezir Aydin, and Ufuk Bolukbas. "A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul." Waste Management & Research 38, no. 6 (2020): 660–72. http://dx.doi.org/10.1177/0734242x19899729.

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As the number of end-of-life vehicles (ELVs) increases rapidly, their management has become one of the most important environmental topics worldwide. This study is conducted to evaluate various alternatives for location selection of an authorized dismantling center (ADC) for ELVs using a multi-criteria decision-making (MCDM) approach. An intuitionistic fuzzy MCDM-based combinative distance-based assessment (CODAS) approach is proposed to aid waste managers and solve their problem. The intuitionistic fuzzy weighted averaging operator is utilized to aggregate individual opinions of decision-makers into a group opinion. The intuitionistic fuzzy Euclidean and Hamming distances are used to calculate the assessment score of alternatives. A real-life case study of Istanbul is provided to illustrate how this novel intuitionistic fuzzy MCDM-based CODAS approach can be used for alternative selection in real-world applications. The comparison with the available state-of-the-art intuitionistic fuzzy set-based MCDM approaches approves the validity and consistency of the proposed intuitionistic fuzzy CODAS approach. The intuitionistic fuzzy CODAS, WASPAS, and TOPSIS approaches generate exactly the same ordering of alternatives for the new ADC in Istanbul. The results show that the intuitionistic fuzzy CODAS approach indicates valid results and is an effective decision-making technique for vagueness and uncertainty nature of linguistic assessments.
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Ren, Jingzheng. "Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach." Renewable Energy 121 (June 2018): 666–76. http://dx.doi.org/10.1016/j.renene.2018.01.087.

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Mohamed, Mona, and Nissreen El-Saber. "Toward Energy Transformation: Intelligent Decision-Making Model Based on Uncertainty Neutrosophic Theory." Neutrosophic Systems with Applications 9 (September 7, 2023): 13–23. http://dx.doi.org/10.61356/j.nswa.2023.65.

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There has been an increasing tendency for the generation of energy from diverse renewable resources because of the application of contemporary pollution mitigation and justification regulations. Precisely a consequence, choosing the best renewable energy source might be considered a challenging issue given the complexity of the future conditions in any society. Environmental, economic, social, and technical aspects are merely some of the factors that are taken into consideration while evaluating renewable energy sources (RnESs). The suitable RES selection problem, which relies on ambiguous and imprecise data, is also influenced by a variety of circumstances. Hence, this study constructs multi-stages intelligent decision-making model (MsIDMM) based on multi-criteria decision making (MCDM) with support with neutrosophic theory especially, interval valued neutrosophic sets to rank the sources of renewable energy. Ultimately, combinative distance-based assessment (CODAS) method under interval-valued neutrosophic sets is used to rank the sources of renewable energy.
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Pérez-Dominguez, Luis, Sara-Nohemí Almeraz Durán, Roberto Romero López, Iván Juan Carlos Pérez-Olguin, David Luviano-Cruz, and Jesús Andrés Hernández Gómez. "Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: A Case of Study of Ciudad Juárez." Sustainability 13, no. 3 (2021): 1281. http://dx.doi.org/10.3390/su13031281.

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The purpose of this research article is to provide a comprehensive method of evaluation for public transportation. In this sense, this study considers transport lines that offer in Ciudad Juárez, Chihuahua. Hence, this study presents a description of the public transport system as part of the literature review. Likewise, the document describes an appropriate model based on the more outstanding publications about urban mobility and public transportation for passengers. Nevertheless, it is based on the Pythagorean Fuzzy combinative distance-based assessment (CODAS) to analyze and evaluate the alternatives through criteria that define general performance. Thus, the integration of these methods provides an adequate methodology for decision-making concerning urban planning and mobility to detect and improve the performance of criteria not considered within sustainable urban mobility plans. Results show how the applied approach can work as a powerful tool for the appraisal of the transport service. Finally, the results give relevant information to the local authority of the transport management of Ciudad Juarez to do improvements focused on the user.
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Almeraz-Durán, Sara, Luis Asunción Pérez-Domínguez, David Luviano-Cruz, Jesús Israel Hernández Hernández, Roberto Romero López, and Delia J. Valle-Rosales. "A Proposed Framework for Developing FMEA Method Using Pythagorean Fuzzy CODAS." Symmetry 13, no. 12 (2021): 2236. http://dx.doi.org/10.3390/sym13122236.

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The purpose of this research article is to develop a hybridization between the Failure Mode and Effect Analysis (FMEA) method and the Combinative Distance-Based Assessment (CODAS) method under Pythagorean Fuzzy environment. The traditional FMEA procedure is based on the multiplication between the parameters of severity, occurrence, and detectability where everyone has equal relative importance; therefore, different combinations of these parameters can generate the same result creating uncertainty in the analysis. In this mode, the hybridization proposed in this research deal with relative importance of each parameter; in the fact to have a more suitable combination which consider the level of knowledge of the experts in the assessment. Finally, a numerical case was carried out concerning the public transportation service to validate our proposal; the results show that 31 failure modes and potential risks can be evaluated using user perceptions, a dominant with high level of knowledge about the public transportation service and an apprentice or common user, as team of experts and exploiting the subjectivity of the information in a mathematical model. Also, we compare the results with a variation of the proposed model with the multi-criteria method multi-objective optimization method by relationship analysis (MOORA); it was observed that the convergence of the failure modes depends on the nature of the mathematical model even under the same conditions at the start.
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Aydoğmuş, Hacer Yumurtacı, Eren Kamber, and Cengiz Kahraman. "ERP selection using picture fuzzy CODAS method." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 11363–73. http://dx.doi.org/10.3233/jifs-202564.

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The purpose of this study is to develop an extension of CODAS method using picture fuzzy sets. In this respect, a new methodology is introduced to figure out how picture fuzzy numbers can be applied to CODAS method. COmbinative Distance-based Assessment (CODAS) is a new MCDM method proposed by Ghorabaee et al. Picture fuzzy sets (PFSs) are a new extension of ordinary fuzzy sets for representing human’s judgments having possibility more than two answers such as yes, no, refusal and neutral. Compared with other studies, the proposed method integrates multi-criteria decision analysis with picture fuzzy uncertainty based on Euclidean and Taxicab distances and negative ideal solution. ERP system selection problem is handled as the application area of the developed method, picture fuzzy CODAS. Results indicate that the new proposed method finds meaningful rankings through picture fuzzy sets. Comparative analyzes show that the presented method gives successful and robust results for the solutions of MCDM problems under fuzziness.
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Ajib Bahauddin, Aang Suryana, Muhammad Arrasyid, Perani Rosyani, and Saprudin. "Decision Support System Analysis of School Promotion Media Selection using MABAC, OCRA And CODAS Methods." International Journal of Integrative Sciences 2, no. 12 (2023): 1967–90. http://dx.doi.org/10.55927/ijis.v2i12.7235.

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School promotion is an activity to communicate educational products to consumers or prospective students. Promotional activities require strategic policies in order to maximize promotional results, therefore analysis of the selection of appropriate promotional media needs to be done. Multi-Attributive Border Approximation area Comparison, Operational Competitiveness Rating Analysis, COmbinative Distance-based Assessment in decision support system with case study at SMK Airlangga Balikpapan. MABAC, OCRA and CODAS are used in the calculation process that produces output in the form of promotional media ranking to be recommended to the school promotion team as a consideration for selecting the right promotional media. Alternative promotional media used in this research are brochures, posters, billboards, banners and newspaper advertisements. Based on the results of the research, the MABAC, OCRA and CODAS methods can be applied to the school promotion media selection decision support system and can produce output in the form of a priority ranking of school promotion media
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Tadić, Snežana, Mladen Krstić, Milovan Kovač, and Nikolina Brnjac. "Evaluation of Smart City Logistics Solutions." Promet 34, no. 5 (2022): 725–38. http://dx.doi.org/10.7307/ptt.v34i5.4122.

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The negative effects of goods flows realisation are most visible in urban areas as the places of the greatest concentration of economic and social activities. The main goals of this article were to identify the applicable Industry 4.0 technologies for performing various city logistics (CL) operations, establish smart sustainable CL solutions (SSCL) and rank them in order to identify those which will serve as the base points for future plans and strategies for the development of smart cities. This kind of problem requires involvement of multiple stakeholders with their opposing goals and interests, and thus multiple criteria. For solving it, this article proposed a novel hybrid multi-criteria decision-making (MCDM) model, based on BWM (Best-Worst Method) and CODAS (COmbinative Distance-based ASsessment) methods in grey environment. The results of the model application imply that the potentially best SSCL solution is based on the combination of the concepts of micro-consolidation centres and autonomous vehicles with the support of artificial intelligence and Internet of Things technologies. The main contributions of the article are the definition of original SSCLs, the creation of a framework and definition of criteria for their evaluation and the development of a novel hybrid MCDM model.
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Farid, Hafiz Muhammad Athar, Mohamed Bouye, Muhammad Riaz, and Nimra Jamil. "Fermatean Fuzzy CODAS Approach with Topology and Its Application to Sustainable Supplier Selection." Symmetry 15, no. 2 (2023): 433. http://dx.doi.org/10.3390/sym15020433.

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A Fermatean fuzzy set (FFS) is a reliable method for representing uncertainty in “multi-criteria decision-making” (MCDM). This research seeks to examine the topological properties of FFSs and to establish the notion of “Fermatean fuzzy topology” (FFT). An FFT is the generalisation of existing fuzzy topologies. Several aspects of FFT are examined and various novel concepts are proposed, which include Fermatean fuzzy α-continuity between FFTSs and Fermatean fuzzy connectedness. To deal multiple challenges in sustainable supply chain management, a Fermatean fuzzy “combinative distance-based assessment” (CODAS) method was developed. The proposed FF CODAS technique involves various key features for MCDM. Firstly, a known reputation vector or equal expert weights is determined based on the reputation, experience and qualifications of the experts. Secondly, the Fermatean fuzzy direct rating approach is used to establish the relative relevance of criteria based on the expert group’s evaluation preferences. Thirdly, the Fermatean fuzzy CODAS approach is used to construct alternative orderings based on their assessment scores. Finally, an application is developed to show the benefit of the suggested supplier selection approach. Additionally, the symmetry of an optimal decision in application is carried out by a comparison analysis of the suggested models with some existing models.
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Trung, Do Duc, and Tran Van Dua. "Development of RAMDOE: a new method for rapidly ranking alternatives with supplementary options and considering changes in criteria values." Mathematics and Cybernetics - applied aspects 2, no. 4 (128) (2024): 6–12. http://dx.doi.org/10.15587/1729-4061.2024.298612.

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This paper delves into the development and validation of the RAMDOE method, a pioneering approach in multi-criteria decision making (MCDM) that seamlessly integrates the root assessment method (RAM) and design of experiments (DOE) techniques, addressing the inflexibility of traditional MCDM methods in accommodating adjustments in criteria ranges and the addition of new alternatives without necessitating a complete overhaul of the decision framework. Through empirical analysis, the study demonstrates the RAMDOE method's remarkable efficacy in precisely ranking alternatives, as illustrated through a practical case study focused on the selection of a supplier from a pool of seven candidates. One of the most notable aspects of the RAMDOE method lies in its capacity to formulate a regression equation that accurately captures the intricate relationship between alternative scores and criteria values, enabling decision-makers to seamlessly integrate new alternatives into the decision-making process without the cumbersome task of recalibration, thereby distinguishing it from conventional MCDM techniques such as TOPSIS (technique for order of preference by similarity to ideal solution), COPRAS (complex proportional assessment), MOORA (multiobjective optimization on the basis of ratio analysis), EDAS (evaluation based on distance from average solution) and CODAS (combinative distance-based assessment). The practical implications of these findings are profound, offering decision-makers across various domains a more efficient and adaptable framework to navigate complex decision scenarios. Particularly in contexts like supplier selection, where criteria ranges may vary significantly, the RAMDOE method provides decision-makers with a robust toolset to make informed decisions, presenting a promising avenue for addressing the dynamic nature of decision-making environments and enhancing the overall robustness and flexibility of MCDM processes in real-world applications
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Roy, Jagannath, Sujit Das, Samarjit Kar, and Dragan Pamučar. "An Extension of the CODAS Approach Using Interval-Valued Intuitionistic Fuzzy Set for Sustainable Material Selection in Construction Projects with Incomplete Weight Information." Symmetry 11, no. 3 (2019): 393. http://dx.doi.org/10.3390/sym11030393.

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Optimal selection of sustainable materials in construction projects can benefit several stakeholders in their respective industries with the triple bottom line (TBL) framework in a broader perspective of greater business value. Multiple criteria of social, environmental, and economic aspects should be essentially accounted for the optimal selection of materials involving the significant group of experts to avoid project failures. This paper proposes an evaluation framework for solving multi criteria decision making (MCDM) problems with incomplete weight information by extending the combinative distance assessment (CODAS) method with interval-valued intuitionistic fuzzy numbers. To compute the unknown weights of the evaluation criteria, this paper presents an optimization model based on the interval-valued intuitionistic fuzzy distance measure. In this study, we emphasize the importance of individual decision makers. To illustrate the proposed approach, an example of material selection in automotive parts industry is presented followed by a real case study of brick selection in sustainable building construction projects. The comparative study indicates the advantages of the proposed approach in comparison with the some relevant approaches. A sensitivity analysis of the proposed IVIF-CODAS method has been performed by changing the criteria weights, where the results show a high degree of stability.
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Bolturk, Eda. "Pythagorean fuzzy CODAS and its application to supplier selection in a manufacturing firm." Journal of Enterprise Information Management 31, no. 4 (2018): 550–64. http://dx.doi.org/10.1108/jeim-01-2018-0020.

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PurposeThe purpose of this paper is to develop the Pythagorean fuzzy extension of CODAS method.Design/methodology/approachSupplier selection is a critical issue for manufacturing companies since it is a multidimensional problem including several conflicting criteria. A suitable multi criteria decision making (MCDM) method that could consider vagueness and impreciseness in the assessments should be used for this kind of problems. Pythagorean fuzzy sets (PFSs) are characterized by a membership degree and a non-membership degree satisfying the condition that their square sum is equal to or less than 1. PFSs extend the concept of intuitionistic fuzzy sets (IFSs). COmbinative Distance-based Assessment (CODAS) method is relatively a new MCDM technique introduced by Keshavarz Ghorabaee et al. (2016).FindingsPythagorean fuzzy CODAS gives better results than ordinary fuzzy CODAS since it considers the hesitancy of decision makers and presents a larger space for membership and non-membership definition.Originality/valueThe value of this paper is the proposal of a new method to use for the solutions of MCDM problems under vagueness and impreciseness. To show validity and effectiveness of the proposed method, an application to the supplier selection problem is given.
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Omidvari, Fateme, Mehdi Jahangiri, Reza Mehryar, Moslem Alimohammadlou, and Mojtaba Kamalinia. "Fire Risk Assessment in Healthcare Settings: Application of FMEA Combined with Multi‐Criteria Decision Making Methods." Mathematical Problems in Engineering 2020 (October 17, 2020): 1–12. http://dx.doi.org/10.1155/2020/8913497.

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Fire is one of the most dangerous phenomena causing major casualties and financial losses in hospitals and healthcare settings. In order to prevent and control the fire sources, first risk assessment should be conducted. Failure Mode and Effect Analysis (FMEA) is one of the techniques widely used for risk assessment. However, Risk Priority Number (RPN) in this technique does not take into account the weight of the risk parameters. In addition, indirect relationships between risk parameters and expert opinions are not considered in decision making in this method. The aim is to conduct fire risk assessment of healthcare setting using the application of FMEA combined with Multi‐Criteria Decision Making (MCDM) methods. First, a review of previous studies on fire risk assessment was conducted and existing rules were identified. Then, the factors influencing fire risk were classified according to FMEA criteria. In the next step, weights of fire risk criteria and subcriteria were determined using Intuitionistic Fuzzy Multiplicative Best-Worst Method (IFMBWM) and different wards of the hospital were ranked using Interval-Valued Intuitionistic Fuzzy Combinative Distance-based Assessment (IVIFCODAS) method. Finally, a case study was performed in one of the hospitals of Shiraz University of Medical Sciences. In this study, fire alarm system (0.4995), electrical equipment and installations (0.277), and flammable materials (0.1065) had the highest weight, respectively. The hospital powerhouse also had the highest fire risk, due to the lack of fire extinguishers, alarms and fire detection, facilities located in the basement floor, boilers and explosive sensitivity, insufficient access, and housekeeping. The use of MCDM methods in combination with the FMEA method assesses the risk of fire in hospitals and health centers with great accuracy.
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Tešić, Duško, and Darko Božanić. "Model for determining competences of experts in the field of Military Science." Vojno delo 76, no. 1 (2024): 1–22. http://dx.doi.org/10.5937/vojdelo2401001t.

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In addition to the fact that every science has its subject matter, theory, language and methods, it has to have its unique manner of determining the competence of experts in a certain field. This paper studies the manner of determining the competence of experts when the subject of research belongs to the field of Military Science. To identify the influence of individual elements on the competence of an expert, a model has been formed to define the evaluation of the competence. In order to arrive at a final value of the significance of elements of expert's competence, different subjective methods were used founded on ranking method and Full Consistency Method (FUCOM), Combinative Distance Based Assessment (CODAS), Complex Proportional Assessment (CORPAS), Additive Ratio Assessment (ARAS) and Combined Compromise Solution (CoCoSo), as well as the operator Einstein weighted arithmetic average for the aggregation of group decisions. The concurrence of experts was achieved by means of concordance coefficient, while Delphi method was used for the experts surveying process. The proposed model was tested on an illustrative example which proved the validity of the model and the possibility of its application in a real-life situation. This paper should provide assistance to researchers in the field of Military Science who use expert evaluation in their research.
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Parveen Sehgal, Aakash Gupta, Divya,. "E-Learning Websites Selection and Ranking Using Multi-Criteria Decision-Making Methodology." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 1946–58. http://dx.doi.org/10.52783/tjjpt.v44.i4.1155.

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The present research places significant importance on the evaluation and prioritization of E-learning platforms based on a predetermined set of selection criteria. The primary aim of this research project is to select and rank E-learning websites. The issue pertaining to the selection and ranking of e-learning platforms is addressed through the utilization of a methodology known as multiple-criteria decision-making (MCDM). The task of choosing E-learning websites is addressed through the application of the multicriteria decision-making (MCDM) technique known as Weighted-Combinative Distance-based Assessment (W-CODAS), which is specifically designed to tackle such issues. In order to assess the suitability and effectiveness of the proposed method, a comparison is made between the results obtained from methodology which is proposed and those obtained from established approaches such as Visekriterijumsko Kompromisno Rangiranje (VIKOR) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The methodology under consideration has not yet been employed to assess, choose, and prioritize the diverse E-learning platforms
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Elsayed, Asmaa, and Bilal Arain. "A Systematic Approach for Evaluating and Selecting Healthcare Waste Treatment Devices using OWCM-CODAS and Triangular Neutrosophic Sets." Neutrosophic Systems with Applications 19 (July 2, 2024): 67–79. http://dx.doi.org/10.61356/j.nswa.2024.19325.

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Healthcare is a fundamental aspect of human life, impacting individuals, communities, and societies. Investing in healthcare infrastructure, services, and education is essential for fostering a healthy, thriving population. Healthcare waste management is a critical aspect of public health, and it requires a concerted effort from healthcare facilities, governments, and communities to ensure that waste is managed in a way that minimizes risks to human health and the environment. This paper proposes a hybrid methodology combining the Opinion Weight Criteria Method (OWCM) and the Combinative Distance-Based Assessment (CODAS) within the framework of Triangular Neutrosophic Sets (TNS) to evaluate and select the optimal healthcare waste treatment devices. The proposed methodology balances various conflicting criteria and incorporates uncertainty in expert assessments to ensure a robust decision-making process. The paper also provides a comprehensive review of healthcare waste management devices and highlights the need for a comprehensive approach to healthcare waste management. The proposed methodology is applied to a case study involving evaluating healthcare waste treatment devices based on different factors such as economic, environmental, technological, and social aspects. The results show that the OWCM-CODAS methodology, integrated with TNS, effectively evaluates and ranks healthcare waste treatment devices based on multiple criteria. The sensitivity analysis demonstrates the robustness of the proposed model, and the results indicate that the model's performance and the relative ranking of the alternatives are not sensitive to changes in the threshold parameter τ within the tested range.
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Nusaf, A. Mohamed, and R. Kumaravel. "Evaluation of the Contaminated Area Using an Integrated Multi-Attribute Decision-Making Method." Nature Environment and Pollution Technology 23, no. 1 (2024): 161–72. http://dx.doi.org/10.46488/nept.2024.v23i01.012.

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Air pollution affects public health and the environment, creating great concern in developed and developing countries. In India, there are numerous reasons for air pollution, and festivals like Diwali also contribute to air contamination. Determining the polluted region using several air contaminants is significant and should be analyzed carefully. This study aims to analyze the air quality in Tamil Nadu, India, during the Diwali festival from 2019 to 2021, based on multiple air pollutants. The study models the impact of air pollution as a Multi-Attribute Decision-Making (MADM) problem. It introduces a hybrid approach, namely the Analytical Hierarchy Process-Entropy-VlseKriterijumska Optimizacija I Kompromisno Resenje (AHP-Entropy-VIKOR) model, to analyze and rank the areas based on the quality of air. A combined approach of AHP and entropy is employed to determine the weights of multiple air pollutants. The VIKOR approach ranks the areas and identifies the areas with the worst air quality during the festival. The proposed model is validated by performing the Spearman’s rank correlation with two existing MADM methods: Combinative Distance Based Assessment (CODAS) and Weighted Aggregates Sum Product Assessment (WASPAS). Sensitivity analysis is carried out to assess the effects of the priority weights and the dependency of the pollutants in ranking the regions. The highest air pollution level during the festival was seen in Cellisini Colony (2019), Rayapuram (2020), T. Nagar and Triplicane (2021) in their respective year. The results demonstrate the consistency and efficiency of the proposed approach.
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Lukić, Radojko. "Analysis of climate change performance of G7 countries based on AHP-CODAS methods." Holistic approach to environment 15, no. 2 (2025): 47–56. https://doi.org/10.33765/thate.15.2.1.

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Recently, due to the importance of climate change issues, it has been studied from different angles, and as a result, numerous articles have appeared in the literature. Nevertheless, there are few works on the analysis of climate change problems based on multi-criteria decision-making methods. The application of multi-criteria decision-making methods in this issue ensures as accurate results as possible because the weighting coefficients of the criteria are determined mathematically, and not based on subjective assessment. With this in mind, this study analyses the climate change performance of the G7 countries based on the AHP (Analytic Hierarchy Process) and CODAS (COmbinative Distance-based ASsessment) methods. The method was implemented based on available data of CCPI (Climate Change Performance Index) criteria for 2024. According to the AHP method, the most important criterion is greenhouse gas emissions. By reducing greenhouse gas emissions, the negative effects of climate change on the G7 countries can be mitigated. In terms of climate change performance, Germany ranks first. Ranking after Germany: European Union, United Kingdom, Italy, France, Japan, United States and Canada. Climate change is greater in the European Union than in the United Kingdom, Japan, the United States, and Canada. Climate changes in Germany are greater than in Italy and France. Climate change in Italy is greater than in France. However, regardless of the differences in climate change among the G7 countries, in order to mitigate the negative effect of climate change, it is necessary to reduce greenhouse gas emissions, increase the use of renewable energy in total consumption, and define an adequate climate policy strategy.
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Yalçın, Neşe, and Nimet Yapıcı Pehlivan. "Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem." Symmetry 11, no. 4 (2019): 493. http://dx.doi.org/10.3390/sym11040493.

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Fuzzy multi-criteria decision-making (MCDM) methods are useful and reliable for multi-criteria selection problems under uncertain and imprecise situations. In these methods, if decision-makers hesitate among several linguistic terms, hesitant fuzzy linguistic term sets (HFLTSs), represented by a set of successive linguistic terms instead of single linguistic terms, may be more appropriate to make evaluations. The notion of a fuzzy envelope for the HFLTSs is a beneficial tool that can be directly applied to fuzzy MCDM methods to elicit comparative linguistic expressions (CLEs). The aim of this study is to present a methodology that combines the fuzzy CODAS (COmbinative Distance-based Assessment) method with the fuzzy envelope of HFLTs based on CLEs to solve a personnel selection problem. In order to examine the feasibility of the presented methodology, a case study on blue-collar personnel selection in a manufacturing firm is conducted. A sensitivity analysis is performed to demonstrate the stability and validity of the ranking results. Furthermore, the ranking results of the presented methodology are compared with various fuzzy MCDM methods, including fuzzy EDAS, fuzzy TOPSIS, fuzzy WASPAS, fuzzy ARAS, and fuzzy COPRAS. The results show that the presented methodology is efficient and stable for solving personnel selection problems in a hesitant fuzzy environment.
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Abas, Muhammad, Mohammed Alkahtani, Qazi Salman Khalid, Ghulam Hussain, Mustufa Haider Abidi, and Johannes Buhl. "Parametric Study and Optimization of End-Milling Operation of AISI 1522H Steel Using Definitive Screening Design and Multi-Criteria Decision-Making Approach." Materials 15, no. 12 (2022): 4086. http://dx.doi.org/10.3390/ma15124086.

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End-milling operation of steel grade material is a challenging task as it is hard-to-cut material. Proper selection of cutting tools, cutting conditions, and cutting process parameters is important to improve productivity, surface quality, and tool life. Therefore, the present study investigated the end-milling operation of AISI 1522H steel grade under minimum-quantity lubrication (MQL) conditions using a novel blend of vegetable oils, namely canola and olive oil. Cutting process parameters considered were spindle speed (s), feed rate (f), depth of cut (d), width of cut (w), and cutting conditions (c), while responses were average surface roughness (Ra), cutting forces (Fc), tool wear (TW), and material removal rate (MRR). Experimental runs were designed based on the definitive screening design (DSD) method. Analysis of variance (ANOVA) results show that feed rate significantly affects all considered responses. Nonlinear prediction models were developed for each response variable, and their validity was also verified. Finally, multi-response optimization was performed using the combinative distance-based assessment (CODAS) method coupled with criteria importance through inter-criteria correlation (CRITIC). The optimized parameters found were: s = 1200 rpm, f = 320 mm/min, d = 0.6 mm, w = 8 mm, and c = 100 mL/h. Further, it was compared with other existing multi-response optimization methods and induced good results.
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Biswas, Sanjib, Dragan Pamucar, Samarjit Kar, and Shib Sankar Sana. "A New Integrated FUCOM–CODAS Framework with Fermatean Fuzzy Information for Multi-Criteria Group Decision-Making." Symmetry 13, no. 12 (2021): 2430. http://dx.doi.org/10.3390/sym13122430.

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Smartphones have become an inevitable part of every facet of modern society. The selection of a particular smartphone brand from multiple options that are available is a complex and dynamic decision-making problem, involving multiple conflicting criteria that are associated with imprecise asymmetric information imposed by the uncertainty of the consumers. In this paper, we propose a novel hybrid full consistency method (FUCOM) and a combinative distance based assessment (CODAS) based on the multi-criteria group decision-making (MAGDM) framework in the Fermatean fuzzy (FF) domain for smartphone brand selection. We derive the criteria using the UTAUT2 (unified theory of acceptance and ese of technology) model. A group of 15 decision makers (DMs) participated in our study. We compare 14 leading smartphone brands in India and find that the brands having superior features of a good quality and selling a brand image at a affordable price outperform other smartphones. To check the validity of our framework, we compare the results using extant multi-criteria decision-making (MCDM) models. We observe our model provides a consistent solution. Furthermore, we carry out a sensitivity analysis for ascertaining the robustness and stability of the results generated by our model. The results of the sensitivity analysis show that our proposed framework delivers a stable and robust solution.
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Singh, Tej, Amit Aherwar, Lalit Ranakoti, Prabhakar Bhandari, Vedant Singh, and László Lendvai. "Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach." Sustainability 15, no. 11 (2023): 8880. http://dx.doi.org/10.3390/su15118880.

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A hybrid multicriteria decision-making (MCDM) framework, namely “criteria importance through inter-criteria correlation-combinative distance-based assessment” (CRITIC-CODAS) is introduced to rank automotive brake friction composite materials based on their physical and tribological properties. The ranking analysis was performed on ten brake friction composite material alternatives that contained varying proportions (5% and 10% by weight) of hemp, ramie, pineapple, banana, and Kevlar fibers. The properties of alternatives such as density, porosity, compressibility, friction coefficient, fade-recovery performance, friction fluctuation, cost, and carbon footprint were used as selection criteria. An increase in natural fiber content resulted in a decrease in density, along with an increase in porosity and compressibility. The composite with 5 wt.% Kevlar fiber showed the highest coefficient of friction, while the 5 wt.% ramie fiber-based composites exhibited the lowest levels of fade and friction fluctuations. The wear performance was highest in the composite containing 10 wt.% Kevlar fiber, while the composite with 10 wt.% ramie fiber exhibited the highest recovery. The results indicate that including different fibers in varying amounts can affect the evaluated performance criteria. A hybrid CRITIC-CODAS decision-making technique was used to select the optimal brake friction composite. The findings of this approach revealed that adding 10 wt.% banana fiber to the brake friction composite can give the optimal combination of evaluated properties. A sensitivity analysis was performed on several weight exchange scenarios to see the stability of the ranking results. Using Spearman’s correlation with the ranking outcomes from other MCDM techniques, the suggested decision-making framework was further verified, demonstrating its effectiveness and stability.
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Sansabas-Villalpando, Verónica, Iván Juan Carlos Pérez-Olguín, Luis Asunción Pérez-Domínguez, Luis Alberto Rodríguez-Picón, and Luis Carlos Mendez-González. "CODAS HFLTS Method to Appraise Organizational Culture of Innovation and Complex Technological Changes Environments." Sustainability 11, no. 24 (2019): 7045. http://dx.doi.org/10.3390/su11247045.

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Sustainable development implies establishing principles, objectives and strategies within organizations that impact the organizational culture in innovation. However, a method needs to be defined in order to know the critical factors that allow the strengthening of the organizational culture in innovation with emphasis on Industry 4.0 and sustainable development in a highly changing environment for a specific organization. In this sense, the paper identifies the set of factors that are documented through reviews and analysis of the literature, subsequently proposes a Multi-Criteria Decision Making (MCDM) methodology using hesitant fuzzy linguistic term sets (HFLTS) and combinative distance-based assessment (CODAS), where factors are evaluated to obtain a score and hierarchy value. Weight values were calculated using the ambiguity reduction method, which incorporates the knowledge acquired by researchers in organizational culture of innovation and expert judgment under the Saaty scale used in analytic hierarchy process (AHP). Finally, a model of organizational culture in innovation is proposed that can be used by organizations to focus strategies on the factors of greater hierarchy and thereby optimize their resources considering the sustainable development and the Industry 4.0 approach.
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