Review and prioritization of investment projects in the Waste Management organization of Tabriz Municipality with a Rough Sets Theory approach

Nahaei, Vahid Saeid; Novin, Mohammadali Habibizad; Khaligh, Mahdi Assadi

doi:10.52547/ijimes.1.3.46

Cited by 3 publications

(3 citation statements)

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“…The data of this research are obtained from the paper (Nahaei, & Novin, & Khaligh, 2021) and the methodology is in accordance with the method of the paper . In this research, the library and field methods have been used to collect information.…”

Section: Methodsmentioning

confidence: 99%

Fuzzy Clustering Approach for Marketing Recycled Products of Tabriz Municipality Waste Management Organization

Nahaei

Naziri-Oskuei

2021

IJIME

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The main concern of municipalities is the realization of sustainable revenues. Organizations affiliated with municipalities should play a role in generating revenue by defining specialized tasks while assisting municipal tasks. Tabriz Municipality Waste Management Organization seeks to achieve this by defining its strategies and goals. The organization has implemented various projects to generate revenue from recycled products. Poor planning and failure to fully outsource are among the obstacles of this organization. Therefore, marketing of recycled products is an important project. Lack of careful planning in this regard, marketing costs and weakness of private sector investment projects are the most important obstacles facing the organization. This article has determined the degree of homogeneity of waste organization projects in the marketing of recycled products with a fuzzy clustering approach and according to the opinions of experts. The results show that some of the organization's projects lack value. Instead, some projects, such as the construction of a recycling town with a variety of recycled products, renewable energy recycling, and plastic recycling with a variety of products, have similar features in the product mix marketing element, and this can reduce marketing costs and Focus on such projects.

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Section: Methodsmentioning

confidence: 99%

Fuzzy Clustering Approach for Marketing Recycled Products of Tabriz Municipality Waste Management Organization

Nahaei

Naziri-Oskuei

2021

IJIME

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“…Therefore, they are random and dynamic systems (Gosavi, 2015). We must keep in mind that all designed systems, such as open systems, have outputs (Nahaei, & Novin, & Khaligh, 2021). The case study of the store has been done by computer simulation method and Enterprise Dynamics (ED) software.…”

Section: Methodsmentioning

confidence: 99%

Simulation of Sales Scenarios in Chain Store Marketing with a Futuristic Approach

Samadi-Parviznejad

2021

IJIME

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This paper examines the simulation method as one of the future prediction techniques. In this article, while examining the concepts related to futuristic studies, one of the powerful tools in this field is introduced. Examining the concepts, how to form analytical approaches with simulation, and using it in futures studies are some of the most important topics in this article. What emerges from the study and application of this method in its use in marketing and sales is that in many approaches, simulation can be a useful tool especially that by determining specific scenarios, the decision proper capture is done. The simulation approach uses a precise analysis of the current situation to reflect the present view of the future, and in addition, by considering future probabilities and components, a proper analysis of present decisions and policies for the future can be made create. In this paper, while introducing simulation as one of the futures research approaches, its application in different fields is investigated and a case study of this technique in the field of retail queue systems is analyzed. The results show that the future of the market for chain stores is based on creativity, innovation and effective management relationship with customers.

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“…On the other hand, Rough Set theory provides a mathematical framework for dealing with uncertainty and vagueness in data (Ji et al, 2021) (Nahaei et al, 2021) (Singh & Som, 2022) (Zhu & Kan, 2022) (Said et al, 2022) (Buabeng et al, 2022) (Bhagat et al, 2022). It focuses on the concept of attribute reduction, which aims to identify a minimal subset of attributes that can still preserve the essential information for accurate classification.…”

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confidence: 99%

Integrating hybrid grid partition and rough set method for fuzzy rule generation: a novel approach for accurate dataset classification

Joseph¹

2023

emod

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Accurate dataset classification is a critical task in various domains, and combining different methodologies can enhance classification performance. This research presents a novel approach that integrates Hybrid Grid Partition and Rough Set methods for fuzzy rule generation, aiming to improve accuracy and interpretability in dataset classification. The proposed approach leverages Hybrid Grid Partition to discretize continuous attributes and Rough Set attribute reduction to identify essential attributes, enabling accurate classification while handling uncertainty and imprecision. The generated fuzzy rules provide interpretability, aiding decision-making processes and providing insights into classification factors. The approach's robustness and generalization capabilities are demonstrated through experiments on diverse datasets, indicating its potential applicability in real-world scenarios. However, limitations such as the absence of specific evaluation metrics and the need for further validation on larger datasets are acknowledged. Overall, this research contributes to accurate dataset classification by offering a novel integrated approach and highlighting areas for future investigation and refinement

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Review and prioritization of investment projects in the Waste Management organization of Tabriz Municipality with a Rough Sets Theory approach

Cited by 3 publications

References 30 publications

Fuzzy Clustering Approach for Marketing Recycled Products of Tabriz Municipality Waste Management Organization

Fuzzy Clustering Approach for Marketing Recycled Products of Tabriz Municipality Waste Management Organization

Simulation of Sales Scenarios in Chain Store Marketing with a Futuristic Approach

Integrating hybrid grid partition and rough set method for fuzzy rule generation: a novel approach for accurate dataset classification

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