Fuzzy modelling of the transportation logistics processes

Abstract The relevance of mechanisms and fuzzy modeling methods used in transport and logistics processes is justified. The logic of the transport and logistics chains study by their decomposition into separate economic entities with subsequent synthesis, with taking into account their conflicting interests, is presented. The task of managing transport and logistics processes is set within the framework of the conceptual positions of the fuzzy sets theory: the use of linguistic variables, the concept of a fuzzy set, fuzzy inference, implemented on the basis of fuzzy sets operations. In this study, the fuzzy modeling on the bottom-up conclusions from the premises to the conclusion was used. Various methods of implication and defuzzification have been analyzed. An iterative procedure for managing transport and logistics chains and their links has been proposed, which ensures the adaptation of the process to the specified performance indicators. A calculated example is given for a marshalling yard as a link in the transport and logistics chain.

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Fuzzy Sets in the Social Sciences: An Overview of Related Researches

Jurnal Teknologi ◽

10.11113/jt.v41.726 ◽

2012 ◽

Cited By ~ 1

Author(s):

Mohd. Lazim Abdullah ◽

Wan Salihin Wong Abdullah ◽

Abu Osman Md. Tap

Keyword(s):

Social Sciences ◽

Fuzzy Sets ◽

Social Research ◽

Fuzzy Model ◽

Substantial Improvement ◽

Fuzzy Sets Theory ◽

Linguistic Variables ◽

Human Beings ◽

The Social ◽

Sets Theory

Pemodelan matematik yang berasaskan set kabur selalunya dikaitkan dengan pengajian dalam bidang kejuruteraan dan sains komputer. Oleh kerana fenomena kekaburan dalam kehidupan dikaitkan dengan kemanusiaan, maka kertas kerja ini membincangkan penggunaan set kabur dalam sains sosial. Satu kajian berkaitan dibentangkan di mana contoh menggunakan model kabur untuk mengukur data kabur daripada soal selidik dikemukakan. Kertas kerja ini turut membincangkan soal selidik yang banyak digunakan dalam penyelidikan sains sosial serta unsur kekaburan yang terlibat. Atribut dan label bagi pembolehubah linguistik daripada soal selidik yang tidak jelas diubah kepada yang ada nilai matematik. Model kabur ini menyediakan pembaikan dalam analisis data serta memberi kesimpulan yang lebih tepat. Kertas kerja ini memberi satu kefahaman baru tentang penggunaan meluas dan sumbangan set kabur dalam sains sosial. Kata kunci: Set kabur, sains sosial, model kabur, pembolehubah linguistik, konjoin kabur A mathematical modelling based on the fuzzy sets theory is synonymous with the fields of engineering and computer science. Since the phenomena of fuzziness in the real world is also closely related with human beings, this paper discusses the application of fuzzy sets in social sciences. An overview of related research is presented, which focuses on an example of social research using a fuzzy model to measure the fuzzy data from a questionnaire. This paper also discusses the questionnaire that is used to collect data by many researchers in social sciences and the elements of fuzziness in it. The vague attributes and labels of a linguistic variable from the questionnaire would be transformed into standard mathematical values. This fuzzy model offers a substantial improvement in data analyses and gives more accurate conclusions. In short, this paper gives a new insight of the vast contribution of fuzzy sets in social sciences. Key words: Fuzzy sets, social sciences, fuzzy model, linguistic variables, fuzzy conjoint

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Fuzzy Modeling for Modifying Standard Prescriptions of Oriental Traditional Medicine

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2003.p0339 ◽

2003 ◽

Vol 7 (3) ◽

pp. 339-347 ◽

Cited By ~ 6

Author(s):

Nguyen Hoang Phuong ◽

◽

Pratit Santiprabhob ◽

Kaoru Hirota ◽

◽

...

Keyword(s):

Traditional Medicine ◽

Fuzzy Sets ◽

Input Data ◽

Fuzzy Modeling ◽

Fuzzy Sets Theory ◽

Medical Practitioners ◽

Patient Status ◽

Herbal Plants ◽

Sets Theory ◽

The Given

The aim of our research is to simulate a thinking of Traditional medical practitioners in forming a prescription of Oriental traditional medicine based on the observed symptoms of the patient. In this paper, we focus on modeling for modifying standard prescriptions of oriental Traditional medicine using the fuzzy sets theory when the standard prescription is given. Input data are symptoms and patient status which are represented as fuzzy sets and outputs are new ingredients of herbal plants of the given standard prescription and some new herbal plants constituting a advised prescription.

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Psychological Well-Being in Adolescence: An Approach from Fuzzy Sets Theory

PsycEXTRA Dataset ◽

10.1037/e534572010-001 ◽

2010 ◽

Author(s):

Monica Gonzalez ◽

Ferran Casas

Keyword(s):

Fuzzy Sets ◽

Well Being ◽

Fuzzy Sets Theory ◽

Psychological Well Being ◽

Sets Theory

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Condition Assessment Framework for Facility Management Based on Fuzzy Sets Theory

Buildings ◽

10.3390/buildings11040156 ◽

2021 ◽

Vol 11 (4) ◽

pp. 156

Author(s):

Deniz Besiktepe ◽

Mehmet E. Ozbek ◽

Rebecca A. Atadero

Keyword(s):

Fuzzy Sets ◽

Condition Index ◽

Condition Assessment ◽

Facility Management ◽

Maintenance Management ◽

Fuzzy Sets Theory ◽

Mean Time Between Failures ◽

Condition Rating ◽

Computerized Maintenance Management System ◽

Sets Theory

Condition information is essential to develop effective facility management (FM) strategies. Visual inspections and walk-through surveys are common practices of condition assessment (CA), generally resulting in qualitative and subjective outcomes such as “poor”, “good”, etc. Furthermore, limited resources of the FM process demand that CA practices be efficient. Given these, the purpose of this study is to develop a resource efficient quantitative CA framework that can be less subjective in establishing a condition rating. The condition variables of the study—mean time between failures, age-based obsolescence, facility condition index, occupant feedback, and preventive maintenance cycle—are identified through different sources, such as a computerized maintenance management system, expert opinions, occupants, and industry standards. These variables provide proxy measures for determining the condition of equipment with the implementation example for heating, ventilating, and air conditioning equipment. Fuzzy sets theory is utilized to obtain a quantitative condition rating while minimizing subjectivity, as fuzzy sets theory deals with imprecise, uncertain, and ambiguous judgments with membership relations. The proposed CA framework does not require additional resources, and the obtained condition rating value supports decision-making for building maintenance management and strategic planning in FM, with a comprehensive and less subjective understanding of condition.

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