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Showing 1-20 of 5,898 results
  1. A weighted centroids approach based trapezoidal interval type-2 fuzzy TOPSIS method for evaluating agricultural risk management tools

    This study proposes a trapezoidal interval type-2 fuzzy TOPSIS method to evaluate agricultural risk management tools. The weighted centroids based on...

    Thi Hong Phuong Le, Ta-Chung Chu in Soft Computing
    Article 24 July 2023
  2. ELECTRE TRI-C with Hesitant Fuzzy Sets and Interval Type 2 Trapezoidal Fuzzy Numbers Using Stochastic Parameters: Application to a Brazilian Electrical Power Company Problem

    ELECTRE TRI-C is a method for sorting problems with imprecise evaluations and stable criteria weights, typically for a single decision-maker. While...

    Javier Pereira, Elaine C. B. de Oliveira, ... Luciana H. Alencar in International Journal of Fuzzy Systems
    Article 27 June 2024
  3. A hybrid decision-making technique based on extended entropy and trapezoidal fuzzy rough number

    The fourth industrial revolution, in which mechanical appliances can be precisely and automatically handled, depends extensively on intelligent...

    Saba Fatima, Muhammad Akram, Fariha Zafar in Journal of Applied Mathematics and Computing
    Article 18 June 2024
  4. Type-2 Fuzzy Sets Including Word Models

    This chapter formally introduces type-2 fuzzy sets and is the backbone for the rest of this book. It includes a lot of new terminology and also a way...
    Chapter 2024
  5. Interval Type-2 Fuzzy Systems

    This chapter explores many aspects of the interval type-2 (IT2) fuzzy system that was introduced in Chap. 1 . As...
    Chapter 2024
  6. General Type-2 Fuzzy Systems

    This chapter explores many aspects of the general type-2 (GT2) fuzzy system that was introduced in Chap. 1 . It...
    Chapter 2024
  7. Availability and profit analysis of gas turbine system using new type of generalized trapezoidal fuzzy numbers

    The availability and profitability of a gas turbine system are being studied in this paper using a novel class of generalised trapezoidal fuzzy...

    Article 13 May 2023
  8. Interval Type-2 Fuzzy Decision-Making

    Type-2 fuzzy sets are used to deal with uncertain preferences in LSGDM, especially the fuzziness and subjectivity of semantic preferences. This...
    Chapter 2023
  9. TOPSIS Method with Trapezoidal Bipolar Fuzzy Numbers

    In this chapter, we consider bipolar fuzzy numbers for the expression of bipolar, non-exact data. In order to impose some structure on them, we focus...
    Muhammad Akram, Shumaiza, José Carlos Rodríguez Alcantud in Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets
    Chapter 2023
  10. VIKOR Method with Trapezoidal Bipolar Fuzzy Sets

    The previous chapters have been dedicated to extend the scope of two known Multi-criteria decision making (MCDM) techniques, namely, TOPSIS and...
    Muhammad Akram, Shumaiza, José Carlos Rodríguez Alcantud in Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets
    Chapter 2023
  11. A Novel Ranking Approach to Rank Interval-Valued Trapezoidal Intuitionistic Fuzzy Sets by Using the Concept of Centroids

    An Interval-valued trapezoidal intuitionistic fuzzy set (IVTrIFS) is a powerful tool for modelling uncertainty. The ranking of IVTrIFSs plays a vital...

    S. N. Murty Kodukulla, V. Sireesha in SN Computer Science
    Article 26 April 2024
  12. A Novel Fuzzy Cumulative Sum Control Chart with an α-Level Cut Based on Trapezoidal Fuzzy Numbers for a Real Case Application

    Statistical process control (SPC) is widely used to monitor production processes in many industries under certain conditions. When dealing with a...

    Akın Özdemir, Metin Uçurum, Hüseyin Serencam in Arabian Journal for Science and Engineering
    Article 09 November 2023
  13. Integrating trapezoidal fuzzy best–worst method and single-valued neutrosophic fuzzy MARCOS for efficiency analysis of surface water treatment plants

    Despite being aware of a number of potential natural states, the decision-maker lacks the expertise to calculate their probability. The uncertainty...

    Priyanka Majumder, Amrit Das, ... Faisal Aqlan in Soft Computing
    Article 31 May 2023
  14. Type-2 Fuzzy Sets and Their Application in Decision-Making: General Concepts

    Abstract

    An overview of the basic concepts and set-theoretic operations related to type-2 fuzzy sets and type-2 fuzzy relations is given. In...

    O. V. Baskov, V. D. Noghin in Scientific and Technical Information Processing
    Article 01 December 2022
  15. Bi-Level Linear Fuzzy Fractional Programming Problem Under Trapezoidal Fuzzy Environment: A Solution Approach

    This paper proposes a method to solve a bi-level linear fuzzy fractional programming problem comprising all its constants and coefficients expressed...
    Conference paper 2023
  16. Prediction of machinability parameters in turning operation using interval type-2 fuzzy logic system based on semi-elliptic and trapezoidal membership functions

    Predicting the behaviour of a manufacturing operation is always challenging. Predictive analytics plays a major role in tackling errors present in...

    K. B. Badri Narayanan, Sreekumar Muthusamy in Soft Computing
    Article 01 March 2022
  17. A Novel Kind of Arithmetic Operations on Trapezoidal Fuzzy Numbers and Its Applications to Optimize the Transportation Cost

    The main objective of this paper is to define novel kind of operations on trapezoidal fuzzy numbers that is totally different from the existing...

    M. Edwin Antony Raj, Geetha Sivaraman, P. Vishnukumar in International Journal of Fuzzy Systems
    Article 17 November 2022
  18. Multi-item two-stage fixed-charge 4DTP with hybrid random type-2 fuzzy variable

    Parameters of some real-life decision-making problems are simultaneously uncertain, imprecise, and vague. In this paper, for the first time, we...

    Sudeshna Devnath, Pravash Kumar Giri, ... Manoranjan Maiti in Soft Computing
    Article 20 October 2021
  19. General De Novo Programming Problem Under Type-2 Fuzzy Environment

    The de novo programming technique is used to design an optimal system when the objectives and constraints are linear. It was initially introduced...

    Article 23 December 2023
  20. Interval Type-2 Fuzzy Systems: Design Methods and Case Studies

    This chapter is the IT2 version of Chap. 4 . It focuses first on what exactly “design of an IT2 fuzzy system”...
    Chapter 2024
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