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  1. 1

    The Parameter Reduction of the Interval-Valued Fuzzy Soft Sets and Its Related Algorithms by Ma, Xiuqin, Qin, Hongwu, Norrozila, Sulaiman, Herawan, Tutut, Jemal, H. Abawajy

    Published 2014
    “…To this end, an interval-valued fuzzy soft set (IVFSS) that combines soft set theory with interval-valued fuzzy set theory has been proposed to handle imprecision and uncertainty in applications such as decision-making problems. …”
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    Article
  2. 2

    Interval-valued fuzzy soft topology and its applications in group decision-making problems by Altwer, Mabruka Ali Juma

    Published 2022
    “…Lower membership degree and upper membership degree are two types of information considered by interval-valued fuzzy soft sets. In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. …”
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    Thesis
  3. 3

    Application of a preference relationship in decision-making based on intuitionistic fuzzy soft sets by Kilicman, Adem, Khameneh, Azadeh Zahedi, Salleh, Abdul Razak

    Published 2018
    “…Intuitionistic fuzzy soft set (IFSS) provides more efficient and flexible tool than ordinary fuzzy soft set (FSS) to express decision makers’ opinions in real-world decision problems. …”
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  4. 4

    An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

    Published 2017
    “…Also, the accuracy of original soft-set optimal and sub-optimal results have been improved using an intelligent SSR-BPSO-BBO algorithm. …”
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    Thesis
  5. 5

    Fuzzy Soft Set Clustering for Categorical Data by Iwan Tri Riyadi, Yanto, Ani, Apriani, Rofiul, Wahyudi, Cheah, Wai Shiang, Suprihatin, in, Rahmat, Hidayat

    Published 2024
    “…This involves producing a multi-soft set by using a rotated based soft set, and then clustering the data using a multivariate multinomial distribution. …”
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  6. 6

    A Micro-Genetic Algorithm Approach for Soft Constraint Satisfaction Problem in University Course Scheduling by Abd. Halim, Bohadean @ Bohari

    Published 2013
    “…The problems are more challenging when a set of events need to be scheduled in the time slot, to be located to the suitable rooms, which is subjected to several sets of hard and soft constraints. …”
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  7. 7

    Soft Set Decision/Forecasting System Based on Hybrid Parameter Reduction Algorithm by Mohammed, Mohammed Adam Taheir, Sadiq, Ali Safa, Ruzaini, Abdullah Arshah, Ernawan, Ferda, Mirjalili, Seyedali

    Published 2017
    “…Existing classification techniques, which are previously proposed for eliminating data inconsistency, could not achieve an efficient parameter reduction in soft set theory as it affects the obtained decisions. …”
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  8. 8

    An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information by Khameneh, Azadeh Zahedi, Kilicman, Adem, Salleh, Abdul Razak

    Published 2017
    “…To date, different algorithms have been proposed for solving collective decision-making problems based on fuzzy soft set theory. …”
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  9. 9

    Medical data classification using similarity measure of fuzzy soft set based distance measure by Lashari, Saima Anwar, Ibrahim, Rosziati, Senan, Norhalina

    Published 2017
    “…This paper assesses the performance of a new classification algorithm using similarity measure fuzzy soft set based distance based for numerical medical datasets. …”
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    Solving an application of university course timetabling problem by using genetic algorithm by Norhana, Shaibatul Khadri

    Published 2022
    “…The system can help SQS or any other academic schools or institutions to easily develop course timetabling in the coming semesters.…”
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    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM by Yong, Phang How

    Published 2019
    “…The main objective of this study is to propose a two-staged heuristic solution for Primary School Timetabling whereby the algorithm should enable combination of classes from different classes of students and reduce the number of subjects to be taught in a day and develop a simulation model for Primary School Timetabling Problem. …”
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    Final Year Project Report / IMRAD
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    Cabbage disease detection system using k-NN algorithm by Mohamad Ainuddin Sahimat

    Published 2022
    “…It is a method of extracting second-order statistical texture features to detect diseases more efficiently. Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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    Academic Exercise
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    An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

    Published 2016
    “…However, limited studies were found in bio-inspired algorithms especially immune based algorithm in talent prediction. …”
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    Research Reports