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Latest NEW
کسب رتبه ب نشریه از کمیسیون نشریات وزارت علوم تحقیقات و فناوری
It is our pleasure to announce that
"Fuzzy Optimization and Modeling Journal"
has been recently indexed in
Ministry of Science, Research and Technology (MSRT), Grade B
https://journals.msrt.ir/home/detail/16043/
All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and then rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).
This journal is the following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws.
Fuzzy Optimization and Modeling Journal is an international scholary open access journal and provides a forum for orginal study in the field of uncertain optimization and modeling problems. All papers published in Fuzzy Optimization and Modeling Journal are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within two months, and a final decision in a period of time not exceeding four months.
Manuscripts should be written in English, following the style of our journal in what concerns the technical preparation of the papers. The template and style of our journal could be downloaded from Guide for Authors.
The journal will consider papers for publication in the following areas:
Theory and Methodology papers: Papers extending uncertainty theory in the context of fuzzy, stochastic and interval modeling and optimization.
Case Study papers: Papers describing the solution to an actual problem arising in uncertain optimization and modeling problems.
Algorithmic Developments: Papers establishing computational complexity in presenting new algorithms to solve uncertain optimization problems.
Recent Articles
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Open Access Article
1 - An interval PROMETHEE II & TOPSIS & EDAS approach for multi-criteria ranking problem of the bank branches in Iran
Saeid Torkan Ali Mahmoodirad Sadegh Niroomand Saeid GhaneIssue 1 , Vol. 5 , Winter 2024Undoubtedly, Rating of bank branches is one of the important tools of its managers to promote branches. In this study, a multi-criteria problem applied in banking has been addressed. In this research, a framework for ranking 20 branches of Tose'e Ta'avon Bank MoreUndoubtedly, Rating of bank branches is one of the important tools of its managers to promote branches. In this study, a multi-criteria problem applied in banking has been addressed. In this research, a framework for ranking 20 branches of Tose'e Ta'avon Bank in Iran (Khuzestan province) using decision-making methods has been considered as a case study. Important criteria are selected through experts and research literature, and then according to the uncertainty in some indicators and the elimination of defects related to the investigation at a certain point in time, the data is determined in the form of interval values. The weighting of the criteria using experts' opinions, interval Shannon entropy and the linear combination of the two, and considering the final matrix extracted from three 4-month intervals (geometric mean of 3 matrices) using three approaches namely PROMETHEE II, EDAS and TOPSIS With interval values, the ranking of bank branches has been used for a case study, and then benchmark tests are used to validate the methods, in order to finally provide a fairer ranking, the managers can see the real position of the branches in identify throughout the year and use it to improve the bank's performance. Manuscript profile
Most Viewed Articles
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Open Access Article
1 - Comparison of Distance-Based Fuzzy MCDM Techniques to Evaluate Marketing Strategies for Tourism-Pilgrimage Hotels During a Pandemic
Milad Khajiyan Sheini Pour Mohammad HematiIssue 3 , Vol. 3 , Summer 2022In the last two years (2020 and 2021), many businesses, especially in the tourism and pilgrimage sectors, suffered severe recession during the COVID-19 pandemic. The closure of many hotels in the world's religious cities has posed a major threat to religious tourism. Me MoreIn the last two years (2020 and 2021), many businesses, especially in the tourism and pilgrimage sectors, suffered severe recession during the COVID-19 pandemic. The closure of many hotels in the world's religious cities has posed a major threat to religious tourism. Meanwhile, Mashhad hotels in Iran, which are demanded by many tourists and pilgrims from neighboring countries of Iran, were the most affected by this pandemic. Therefore, attracting tourists by observing health protocols for prosperity Industry is very important. Given the complexity of the issue, creativity and the use of decision-making techniques to prioritize marketing strategies are particularly important. This study aims to prioritize marketing strategies using the FMCDM techniques and compare their results together for hotels in the world's second-largest religious metropolis during the COVID-19 pandemic. Therefore, two approaches were applied using the combination of the FAHP technique with distance-based FMCDM methods. Distance-based techniques including FTOPSIS and FVIKOR were used. Based on the FTOPSIS, a strategy with an emphasis on focused differentiation was selected as the most appropriate marketing strategy. By applying the FVIKOR method, three strategies were selected as the best strategies. Two of these three strategies emphasize focused differentiation and the other emphasizes differentiation. Manuscript profile -
Open Access Article
2 - Sensitivity Analysis Algorithm to Measure Fuzzy Efficiency Security Margin of DMUs: A New FDEA approach
Fatemeh Komaki Reza Fallahnejad Farhad Losseinzadeh Lotfi Mohsen Rostamy_MalkhalifehIssue 4 , Vol. 4 , Autumn 2023AbstractAs the calculated efficiencies for the DMUs is relative, so each DMU attempts to improve its performance to don’t miss the position of efficiency in compete with other DMUs. Generally, the performance of DMUs can be evaluated from two perspectives-optimist MoreAbstractAs the calculated efficiencies for the DMUs is relative, so each DMU attempts to improve its performance to don’t miss the position of efficiency in compete with other DMUs. Generally, the performance of DMUs can be evaluated from two perspectives-optimistic and pessimistic. A part of data envelopment analysis examines the sensitivity of the set of efficient DMUs to changes in input and output values. In real world, DEA is sometimes faced with fuzzy and interval inputs and/or outputs. In this paper we focus on the one of important subjects of sensitivity analysis and present an algorithm which uses the classic fuzzy DEA models that can determine the relative efficiency security margin of DMUs with fuzzy and interval inputs and outputs and their simultaneous perturbation. Of course, in addition to the optimistic frontier, we also consider the pessimistic frontier for the observed DMUs and call it the inefficiency improvement margin. With this information, the managers of companies can identify their closest threat and improve their performance in order to keep their position in ranking. Some numerical examples for illustration are given. Manuscript profile -
Open Access Article
3 - Enhancing Recruitment Efficiency: Leveraging Fuzzy Logic Optimization for Effective Skill Management in Human Resources
Farideh Majidi Maryam KhademiIssue 1 , Vol. 4 , Winter 2023The application of fuzzy linear programming and optimization techniques has a rich history in various domains. In recent years, the rise in employee terminations within large companies has underscored the significance of employee performance and its impact on organizati MoreThe application of fuzzy linear programming and optimization techniques has a rich history in various domains. In recent years, the rise in employee terminations within large companies has underscored the significance of employee performance and its impact on organizational progress. To address this issue, it becomes crucial to determine the appropriate number of employees required to effectively execute company projects, considering employee performance and organizational needs. Additionally, it is essential to identify an optimal employee count as a benchmark prior to hiring. This optimal value can be achieved through the utilization of optimization methodologies, such as fuzzy linear programming. This research paper presents a solution to the employee hiring problem in a factory by utilizing the fuzzy linear programming method. The findings reveal that increasing the number of hires does not necessarily correlate with enhanced performance. The findings of this paper enable organizations to make informed decisions regarding employee recruitment and enhance overall operational efficiency. Manuscript profile -
Open Access Article
4 - Arithmetic Operations of Generalized Triangular Picture Fuzzy Numbers with Applications
Mohammad Hasan Abeda Sultana Nirmal MitraIssue 4 , Vol. 4 , Autumn 2023Picture fuzzy set is the generalization of intuitionistic fuzzy set as well as the fuzzy set considering the positive, neutral and negative membership functions of an element. In this article, we develop the arithmetic operations on generalized triangular picture fuzzy MorePicture fuzzy set is the generalization of intuitionistic fuzzy set as well as the fuzzy set considering the positive, neutral and negative membership functions of an element. In this article, we develop the arithmetic operations on generalized triangular picture fuzzy numbers by (α,γ,β)-cut method. Some related properties of them are explored. Finally, picture fuzzy linear equations are solved by using these arithmetic operations. Manuscript profile -
Open Access Article
5 - Integrating Developed Evolutionary Algorithm and Taguchi Method for Solving Fuzzy Facility’s Layout Problem
Hossein Jafari Abbas SheykhanIssue 3 , Vol. 2 , Summer 2021The quadratic assignment problem (QAP) is one of the combinatorial optimization problems belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless a MoreThe quadratic assignment problem (QAP) is one of the combinatorial optimization problems belonging to the NP-hard problems’ class and has a wide application in the placement of facilities. Thus far, many efforts have been made to solve this problem and countless algorithms have been developed to achieve optimal solutions, one of which is the Genetic Algorithm (GA). This paper aims at finding a suitable layout for the facilities of an industrial workshop by using a developed genetic algorithm and Taguchi Method (TM). The research method in the current study is mathematical modeling and data was analyzed using genetic algorithm in Minitab and MATLAB. The results show that the Developed Genetic Algorithm (DGA) is highly efficient, as it has the power to discover many optimal solutions. Therefore, according to the obtained results, it is recommended that when the genetic algorithm (GA) is used to solve problems, it is better to run this algorithm several times; because the proposed method increases the variety of answers in the genetic algorithm and power for discovering the optimal solution becomes more. Manuscript profile -
Open Access Article
6 - New insight on solving fuzzy linear fractional programming in material aspects
SAPAN DAS Seyyed Ahamad EdalatpanahIssue 2 , Vol. 1 , Spring 2020Recently, Srinivasan [On solving fuzzy linear fractional programming inmaterial aspects, Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2019.04.209] proposed a method to solve fractional linear programmingproblem under fuzzy environment based on ranking a MoreRecently, Srinivasan [On solving fuzzy linear fractional programming inmaterial aspects, Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2019.04.209] proposed a method to solve fractional linear programmingproblem under fuzzy environment based on ranking and decompositionmethods. Srinivasan also claimed that the proposed method solved fractionallinear programming problem with inequality and equality constraints. In thisnote, we point out that the paper entitled above suffers from certainmathematical mistakes for solving these problems. Hence, the mentionedmethod and example are not valid. Further the exact method is stated and solvedthe problem. Manuscript profile -
Open Access Article
7 - Enhancing Cooperation: A Futuristic ANFIS Model for Anticipating Strategic Alliances between Fintech Start-ups and the Banking Sector.
Arash Onsori Abbas Khamseh Taghi Torabi Hamidreza yazdaniIssue 3 , Vol. 4 , Summer 2023This study endeavours to present an innovative prognostic framework and evaluate the future prospects of strategic cooperation between fin-tech startups and the banking sector in Iran. Employing a descriptive survey approach, extensive research was conducted through com MoreThis study endeavours to present an innovative prognostic framework and evaluate the future prospects of strategic cooperation between fin-tech startups and the banking sector in Iran. Employing a descriptive survey approach, extensive research was conducted through comprehensive literature reviews, field investigations, and insights gathered from interviews and questionnaires administered to 14 experts affiliated with both financial institutions and fin-tech companies. By identifying six key factors encompassing 31 unique indicators, including motivations for strategic cooperation, effective factors on cooperation, diverse levels of cooperation, external organizational factors, and barriers to strategic cooperation, and outcomes of strategic cooperation, a comprehensive conceptual model was developed. Employing advanced fuzzy inference techniques and MATLAB software, this model was employed to meticulously evaluate the viability and efficacy of strategic cooperation within the banking sector and fin-tech startups. The findings underscore the paramount significance of barriers to strategic cooperation while emphasizing the vital role of external organizational factors, effective factors on cooperation, diverse levels of cooperation, outcomes of strategic cooperation, and motivations for strategic cooperation of banking institutions and fin-tech startups. Additionally, the study gauges the level of strategic cooperation between the banking system and fin-tech startups, which yielded a commendable rating of 7.06, signifying a substantial medium-to-high range. Furthermore, the designed model showcases remarkable validation and predictive capabilities, rendering it an invaluable tool for forecasting future cooperation scenarios. Manuscript profile -
Open Access Article
8 - Coping Uncertainty in the Supplier Selection Problem Using a Scenario-Based Approach and Distance Measure on Type-2 Intuitionistic Fuzzy Sets
Ali SorourkhahIssue 4 , Vol. 3 , Autumn 2022Supplier selection (SS) is a process in which companies identify, evaluate, and select suppliers. The MCDM methods are often used for supplier selection in supply chain management. An unlimited number of MCDM techniques, such as analytic hierarchy process (AHP), analyti MoreSupplier selection (SS) is a process in which companies identify, evaluate, and select suppliers. The MCDM methods are often used for supplier selection in supply chain management. An unlimited number of MCDM techniques, such as analytic hierarchy process (AHP), analytic network process (ANP), the technique of order preference distance to the ideal solution (TOPSIS), etc., have been deployed to solve the supplier selection problems. Though they can manage problem complexity, MCDM techniques cannot deal with problem uncertainty. Hence, they have been combined with the fuzzy set, intuitionistic fuzzy set, etc., to provide more accurate solutions to supplier selection problems. Nonetheless, the future uncertainty related to the environmental changes is ignored in the SS literature. Therefore, we use future scenarios as criteria to select the best supplier in this study. Moreover, we applied a distance measure to rank Type-2 Intuitionistic Fuzzy Set, which is a suitable approach to deal with the vagueness of verbal judgments. A numerical example explains the 5-step proposed approach. Manuscript profile -
Open Access Article
9 - A Novel Selfish Node Detection Based on Fuzzy System and Game Theory in Internet of Things
Gholam Hossein Abdi Amir Hosein Refahi Sheikhani Sohrab Kordrostami Shahram BabaieIssue 4 , Vol. 4 , Autumn 2023Internet of Things describes a large number of devices (things) are connected through a number of sensors via Internet, and lack of some nodes cooperation in providing service to other nodes might interrupt the connection of some things, decreasing network efficiency. A MoreInternet of Things describes a large number of devices (things) are connected through a number of sensors via Internet, and lack of some nodes cooperation in providing service to other nodes might interrupt the connection of some things, decreasing network efficiency. A multi-phase mechanism based on fuzzy logic and Game theory has been designed to recognize and motivate the selfish and malicious nodes to cooperate in IoT. In the first phase, the nodes are grouped into clusters with cluster-heads for data collection. In the second phase, a multiply and dynamic game is executed while forwarding their data packet or others’ data packet. Nodes can select their strategy when data packet forwarding in the third phase (Fuzzy logic). Nodes will determine the neighboring node reputation by using fuzzy system. The amount of reputation of each of the nodes has been realized and finally, with the help of second phase and fuzzy logic, each node is decided to be cooperate or selfish nodes and in case of head, clusters and fuzzy logic in some cases, the opportunity node will be reestablished to cooperate in network activities otherwise the node will be isolated. The simulation of the proposed method has been evaluated and the parameters of selfish node detection accuracy 5%, false positive rate 8% and packet delivery rate 12% are perform better than other previous methods. . Manuscript profile -
Open Access Article
10 - The Reference Ideal Method and the Pythagorean Fuzzy Numbers
Elio Cables María Teresa Lamata Jose Luis VerdegayIssue 1 , Vol. 1 , Winter 2020As it is well known, in spite of having small dimensions, there are daily manysituations that require the solution of a decision-making problem: eating, streetscrossing, assessments, shopping and so on. Generally, the way of working onthese types of problems depends on MoreAs it is well known, in spite of having small dimensions, there are daily manysituations that require the solution of a decision-making problem: eating, streetscrossing, assessments, shopping and so on. Generally, the way of working onthese types of problems depends on how the information used to evaluate eachalternative is provided and represented, as for instance is the case with: crisp values, fuzzy values, Pythagorean values, etc. In this way, different very wellknownmethods have been developed and modified to help to solve this kind ofproblems. Among them, the following may be remarked: AHP, PROMETHEE,ELECTRE, VIKOR, TOPSIS. But there are many other. This paper shows howto apply the so-called Reference Ideal Method (RIM), previously developed bythe authors, when Pythagorean Fuzzy numbers are used to evaluate eachalternative. The paper shows how to solve a decision-making problem throughthe proposed method using such kind of fuzzy numbers and, in order to showhow to practically apply the RIM method, an illustrative example is provided. Manuscript profile
