The attitude of MCDM approaches versus the optimization model in finding the safest shortest path on a fuzzy network

Özçelik, Gökhan

doi:10.1016/j.eswa.2022.117472

Cited by 12 publications

(3 citation statements)

References 43 publications

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“…Considering the ambiguities of the linguistic parameters and responders' uncertainties in determining the score of strategies for certain criteria, the triangular fuzzy number (TFN) is used to describe the ambiguines of the linguistic parameters in the decision matrix questionnaire. TFN is the most used fuzzy number in the literature to convey linguistic terms to numbers 45–48 . This type of fuzzy number maintains the variable's value in an interval and displays the likelihood of different values in the considered interval 49,50 .…”

Section: Methodsmentioning

confidence: 99%

“…TFN is the most used fuzzy number in the literature to convey linguistic terms to numbers. [45][46][47][48] This type of fuzzy number maintains the variable's value in an interval and displays the likelihood of different values in the considered interval. 49,50 This presentation type also explains parameters' uncertainty well with relatively simple calculations.…”

Section: Phase 2: Ranking the Strategiesmentioning

confidence: 99%

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Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

Beheshtinia,

Sayadinia,

Fathi

2023

Energy Science & Engineering

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Preventing energy waste in residential and office buildings has emerged as a critical issue in both developed and developing countries over recent decades. The growing demand for oil and energy reserves has amplified the urgency of this concern. The deployment of building energy management systems (BEMSs) can lead to timely responses to changes in environmental conditions, the prevention of energy wastage, a reduction in CO2 emissions, and an increase in the longevity of building equipment. Despite the undeniable benefits of BEMSs, their market size remains small, creating challenges for providers in reaching potential customers. This research seeks to identify and prioritize the marketing strategies for BEMSs. A case study was conducted, employing the “Strengths, Weaknesses, Opportunities, and Threats” analysis as a tool for identifying marketing strategies related to BEMSs. This method resulted in the identification of 18 distinct marketing strategies. These strategies were subsequently prioritized using a novel fuzzy multicriteria decision‐making technique, VIkor‐topSIS, considering six specific criteria. The findings of the study suggested a hierarchical influence of six criteria on the BEMS market, arranged in the following order of significance: effectiveness, cost, attainability, complexity, timing, and popularity. Furthermore, the top three marketing strategies for BEMSs were found to be internet advertising strategies, discounts to consumers, and online sales. The analysis of the results has also offered valuable insights into the strengths and weaknesses of the studied BEMS provider, as well as the opportunities and threats present within the BEMS market.

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Section: Methodsmentioning

confidence: 99%

Section: Phase 2: Ranking the Strategiesmentioning

confidence: 99%

Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

Beheshtinia,

Sayadinia,

Fathi

2023

Energy Science & Engineering

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“…Garg [13] introduced certain aggregation operators for PFSs and applied them in the context of MCDM. Özçelik [14] conducted an examination of the performances of MCDM methods and an optimization model in solving multiattribute shortest path problems under a fuzzy environment. Beg et al [15] used q-RPFS in MCDM problems by defining some aggregation operators.…”

Section: Introductionmentioning

confidence: 99%

A Decision‐Making Approach Incorporating TODIM Method and Sine Entropy in q‐Rung Picture Fuzzy Set Setting

Aydoğan,

Olgun,

Smarandache

et al. 2024

Journal of Applied Mathematics

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In this study, we propose a new approach based on fuzzy TODIM (Portuguese acronym for interactive and multicriteria decision-making) for decision-making problems in uncertain environments. Our method incorporates group utility and individual regret, which are often ignored in traditional multicriteria decision-making (MCDM) methods. To enhance the analysis and application of fuzzy sets in decision-making processes, we introduce novel entropy and distance measures for q-rung picture fuzzy sets. These measures include an entropy measure based on the sine function and a distance measure derived from the Jensen-Shannon divergence. In our methodology, incorporating the sine function into the entropy measure stands out as a distinctive decision, grounded in a profound understanding of the inherent characteristics of fuzzy sets. Utilizing the sine function proves especially advantageous when handling fuzzy sets that exhibit cyclical variations or fluctuations in their membership degrees. We effectively weight the criteria for an improved evaluation by using this new entropy measure. The introduced distance measure finds application in the TODIM approach, allowing the execution of TODIM method steps within a fuzzy environment until the determination of one alternative’s dominance over another—an advancement beyond traditional approaches. We apply our enhanced fuzzy TODIM method to a real-life construction project management problem from the literature and compare the results with those in the literature and obtained from other MCDM methods. Our proposed measures are robust, as demonstrated by the sensitivity analysis that varied the weights of group utility and individual regret, with the results visualized in a 3D sensitivity plot. The findings demonstrate the superiority of our method in providing a more comprehensive evaluation of alternatives, making it a useful tool for decision-makers facing complex and uncertain decision-making problems.

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Computing constrained shortest path in a network with mixed fuzzy arc weights applied in wireless sensor networks

Peng,

Abbaszadeh Sori,

Nikbakht

et al. 2023

Soft Comput

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The attitude of MCDM approaches versus the optimization model in finding the safest shortest path on a fuzzy network

Cited by 12 publications

References 43 publications

Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

A Decision‐Making Approach Incorporating TODIM Method and Sine Entropy in q‐Rung Picture Fuzzy Set Setting

Computing constrained shortest path in a network with mixed fuzzy arc weights applied in wireless sensor networks

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