scholarly journals A Novel Depreciation Approach in an Uncertain Environment: Interval Type-2 Fuzzy Sets in Maritime

Author(s):  
Ercan AKAN ◽  
Kasım KİRACI

Abstract This study aims to propose a novel model for the determination of depreciation in an environment of uncertainty. In the study, amortization methods were revised through Interval Type-2 Fuzzy (IT2FSs), and a new approach was proposed for investors to make decisions in an environment of cash flow is uncertainty. In the study, we provide options among different depreciation alternatives in the future investment decisions of maritime companies through the revision of the straight-line depreciation method and the double-declining balance depreciation method. The fuzzy depreciation alternatives we suggest in our study are not only suitable for maritime companies, but also companies in different industries.

2021 ◽  
Author(s):  
Reza Ariaeinejad

Spam detection system: a new approach based on interval type-2 fuzzy sets


2021 ◽  
Author(s):  
Reza Ariaeinejad

Spam detection system: a new approach based on interval type-2 fuzzy sets


2021 ◽  
pp. 1-28
Author(s):  
Ashraf Norouzi ◽  
Hossein Razavi hajiagha

Multi criteria decision-making problems are usually encounter implicit, vague and uncertain data. Interval type-2 fuzzy sets (IT2FS) are widely used to develop various MCDM techniques especially for cases with uncertain linguistic approximation. However, there are few researches that extend IT2FS-based MCDM techniques into qualitative and group decision-making environment. The present study aims to adopt a combination of hesitant and interval type-2 fuzzy sets to develop an extension of Best-Worst method (BWM). The proposed approach provides a flexible and convenient way to depict the experts’ hesitant opinions especially in group decision-making context through a straightforward procedure. The proposed approach is called IT2HF-BWM. Some numerical case studies from literature have been used to provide illustrations about the feasibility and effectiveness of our proposed approach. Besides, a comparative analysis with an interval type-2 fuzzy AHP is carried out to evaluate the results of our proposed approach. In each case, the consistency ratio was calculated to determine the reliability of results. The findings imply that the proposed approach not only provides acceptable results but also outperforms the traditional BWM and its type-1 fuzzy extension.


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