Search for: decision-making
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    Examining some potential actions in mitigating gaseous emissions from vehicles, case study: Tehran

    , Article Air Quality, Atmosphere and Health ; Volume 9, Issue 8 , 2016 , Pages 909-921 ; 18739318 (ISSN) Delkash, M ; Mir, H. M ; Sharif University of Technology
    Springer Netherlands 
    Pollutant emission from vehicles is known as a major air pollution source in metropolitan areas. Efficiency of several solutions was quantified and compared to introduce the best solution for decreasing greenhouse gases and air pollutant emissions: (1) inspection and maintenance (I/M) of vehicles, (2) restriction of air conditioner usage, (3) injecting better quality fuel (removing sulfur), and (4) replacing older vehicles with new ones were modeled by International Vehicle Emissions (IVE) model as potential solutions. Restricting air conditioner usage makes an insignificant contribution in pollutants’ emission. The idle inspection/ maintenance system can reduce carbon monoxide (CO) and... 

    Multiple attribute group decision making method using a new similarity measure in interval type-2 fuzzy sets: A case study

    , Article International Journal of Mathematics in Operational Research ; Volume 9, Issue 2 , 2016 , Pages 139-166 ; 17575850 (ISSN) Heidarzade, A ; Mahdavi, I ; Mahdavi Amiri, N ; Sharif University of Technology
    Inderscience Enterprises Ltd  2016
    Similarity measures are very important concepts in fuzzy sets theory. There are several definitions for similarity measures in both type-1 and interval type-2 fuzzy sets (IT2-FSs). Here, the problem of finding similarity between two IT2-FSs is considered. A new similarity measure is proposed and its performance is compared with existing approaches in literature. Furthermore, an application of this measure in multiple criteria group decision making problem is given. Based on the proposed similarity measure, the satisfaction degree for different alternatives are established which then are used to rank alternatives in multiple criteria group decision making. Finally, a case study concerning the... 

    A clinical decision support system based on support vector machine and binary particle swarm optimisation for cardiovascular disease diagnosis

    , Article International Journal of Data Mining and Bioinformatics ; Volume 15, Issue 4 , 2016 , Pages 312-327 ; 17485673 (ISSN) Sali, R ; Shavandi, H ; Sadeghi, M ; Sharif University of Technology
    Inderscience Enterprises Ltd  2016
    Cardiovascular diseases have been known as one of the main reasons of mortality all around the world. Nevertheless, this disease is preventable if it can be diagnosed in an early stage. Therefore, it is crucial to develop Clinical Decision Support Systems (CDSSs) that are able to help physicians diagnose the disease and its related risks. This study focuses on cardiovascular disease diagnosis in an Iranian community by developing a CDSS, based on Support Vector Machine (SVM) combined with Binary Particle Swarm Optimisation (BPSO). We used SVM as the classifier and benefited enormously from optimisation capabilities of BPSO in model development as well as feature selection. Finally,... 

    Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making

    , Article Journal of Environmental Planning and Management ; Volume 59, Issue 8 , 2016 , Pages 1397-1417 ; 09640568 (ISSN) Ahmadisharaf, E ; Tajrishy, M ; Alamdari, N ; Sharif University of Technology
    This study presents an innovative approach for the integration of flood hazard into the site selection of detention basins. The site selection process is conducted by taking into account multiple criteria and disciplines. Hydraulic modeling results derived from stormwater management model are employed by Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) to determine flood hazard score. The score generated by TOPSIS is used in a spatial multi-criteria decision-making site selection framework. Applying the framework, a suitability map is generated in which primary locations for detention basin placement are determined. The method is demonstrated through the... 

    Multi-objective selection and structural optimization of the gantry in a gantry machine tool for improving static, dynamic, and weight and cost performance

    , Article Concurrent Engineering Research and Applications ; Volume 24, Issue 1 , 2016 , Pages 83-93 ; 1063293X (ISSN) Besharati, S. R ; Dabbagh, V ; Amini, H ; Sarhan, A. A. D ; Akbari, J ; Hamdi, M ; Ong, Z. C ; Sharif University of Technology
    SAGE Publications Ltd 
    In this investigation, the multi-objective selection and optimization of a gantry machine tool is achieved by analytic hierarchy process, multi-objective genetic algorithm, and Pareto-Edgeworth-Grierson-multi-criteria decision-making method. The objectives include maximum static deformation, the first four natural frequencies, mass, and fabrication cost of the gantry. Further structural optimization of the best configuration was accomplished using multi-objective genetic algorithm to improve all objectives except cost. The result of sensitivity analysis reveals the major contribution of columns of gantry with respect to the crossbeam's contribution. After determining the most effective... 

    Fuzzy group decision making model for identifying and ranking of success factors in fraud prevention in Iranian e-banking

    , Article Journal of Information Technology Management ; Volume 9, Issue 2 , 2017 , Pages 355-378 ; 20085893 (ISSN) Alizadeh, A ; Chehrehpak, M ; Sharif University of Technology
    With increasing use of e-banking system in Iranian banking sector, ignoring the issue of fraud in the system will be very costly for banks and e-banking customers. Fraud in e-banking is due to some security problems (such as weakness in access control systems and inadequate internal control). So, identifying success factor in fraud prevention in ebanking can be useful for e-banking system developers to improve these systems security. In this paper we have tried to identify and rank these success factors for fraud prevention in e-banking systems. For this purpose, we first review the literature to find potential factors, then identified factors were weighted by using fuzzy group multi... 

    A crisis situations decision-making systems software development process with rescue experiences

    , Article IEEE Access ; Volume 8 , 2020 , Pages 59599-59617 Nowroozi, A ; Teymoori, P ; Ramezanifarkhani, T ; Besharati, M. R ; Izadi, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Previously, we have proposed a computational model for decision-making in crisis situations called C-RPD (Computational Recognition Primed Decision). In this paper, a software development process customized for Crisis Situations Decision-Making Systems (CSDMSs) is proposed. Agile processes can skillfully manage uncertainty in software requirements and some of their features like incremental development can solve some problems in developing CSDMSs. However, these processes do not provide comprehensive solutions for issues like the lack of enough knowledge about CSDMSs, very rapid changes, urgent need to overcome security challenges, high development unpredictability, and the performance test.... 

    The multi-objective supplier selection problem with fuzzy parameters and solving the order allocation problem with coverage

    , Article Journal of Modelling in Management ; Volume 15, Issue 3 , 2020 , Pages 705-725 Khalilzadeh, M ; Karami, A ; Hajikhani, A ; Sharif University of Technology
    Emerald Group Publishing Ltd  2020
    Purpose: This study aims to deal with supplier selection problem. The supplier selection problem has significantly become attractive to researchers and practitioners in recent years. Many real-world supply chain problems are assumed as multiple objectives combinatorial optimization problems. Design/methodology/approach: In this paper, the authors propose a multi-objective model with fuzzy parameters to select suppliers and allocate orders considering multiple periods, multiple resources, multiple products and two-echelon supply chain. The objective functions consist of total purchase costs, transportation, order and on-time delivery, coverage and the weights of suppliers. Distance-based... 

    A comprehensive fuzzy TOPSIS model in multiple criteria decision making

    , Article 37th International Conference on Computers and Industrial Engineering 2007, Alexandria, 20 October 2007 through 23 October 2007 ; Volume 1 , 2007 , Pages 537-548 ; 9781627486811 (ISBN) Mahdavi, I ; Sadeghpour Gildeh, B ; Heidarzade, A ; Mahdavi Amiri, N ; Sharif University of Technology
    Decision making is the process of finding the best option among the feasible alternatives. In classical multiple criteria decision making (MCDM) methods, the ratings and the weights of the criteria are known precisely. Owning to vagueness of the decision data, the crisp data are inadequate for real-life situations. Since human judgments including preferences are often vague and cannot be expressed by exact numerical values, the application of fuzzy concepts in decision making is deemed to be relevant. Here, we apply a new distance formula to compute the standard deviation of fuzzy data to achieve crisp data by normalization. There is a flexibility to consider various fuzzy values as... 

    Fuzzy multiple attribute decision making on water resources projects case study: ranking water transfers to zayanderud basin in Iran

    , Article Water International ; Volume 32, Issue 2 , 2007 , Pages 280-293 ; 02508060 (ISSN) Zarghaami, M ; Ardakanian, R ; Memariani, A ; Sharif University of Technology
    In this study, in order to create a decision-making model on water resources projects, a hierarchy of criteria has been developed by public participation. The Value Management methodology has been used for extraction of the effective criteria and attributes in the scope of Integrated Water Resources Management (IWRM). The hierarchy is generic for water resources management in the Islamic Republic of Iran. Since the evaluations of alternatives with respect to some attributes are uncertain and vague, fuzzy set theory has been used. By merging fuzzy set theory and multi-attribute decision-making a new Decision Support System (DSS), namely FDM, has been developed to compare different... 

    A fuzzy multi-criteria approach to sustainable island-based tourism development

    , Article Scientia Iranica ; Volume 28, Issue 2 , 2021 , Pages 682-699 ; 10263098 (ISSN) Abrishamchi, A ; Mounesan, A. A ; Maknoon, R ; Sharif University of Technology
    Sharif University of Technology  2021
    This paper aims to propose a framework by which decision-makers can evaluate and compare alternatives for sustainable island-based tourism development. The uncertainties and risks involved in information and judgment within the evaluation process were taken into account by using a hybrid approach, which combined the Delphi method, fuzzy set theory, and a discrete multi-criteria method based on prospect theory called TODIM (an acronym in Portuguese of interactive and multiple-criteria decision making). The decision making model examined 3 different techniques for aggregating the viewpoints of different decision-makers and explored how the aggregation technique would affect the ranking of the... 

    A thorough investigation for development of hydrogen projects from wind energy: a case study

    , Article International Journal of Hydrogen Energy ; Volume 46, Issue 36 , 2021 , Pages 18795-18815 ; 03603199 (ISSN) Almutairi, K ; Hosseini Dehshiri, S ; Hosseini Dehshiri, J ; Mostafaeipour, A ; Issakhov, A ; Techato, K ; Sharif University of Technology
    Elsevier Ltd  2021
    Increasing energy demand has led to a substantial growth in the use of wind energy across the world, which can be attributed to the low initial and running costs and rapid and easy deployment of this technology. The development of hydrogen from wind energy is an excellent way to store the excess wind power produced, as the produced hydrogen can be used not only as clean fuel but also as input for various industries. Considering the good wind potentials of Yazd province, the variety of industries that are active in this area, and the central location of this province in Iran, which gives it ample access to major transport routes and other industrial hubs, hydrogen production from wind power... 

    Ranking fuzzy numbers by preference ratio

    , Article Fuzzy Sets and Systems, Amsterdam ; Volume 118, Issue 3 , 2001 , Pages 429-436 ; 01650114 (ISSN) Modarres, M ; Sadi Nezhad, S ; Sharif University of Technology
    Elsevier Science Publishers B.V  2001
    We propose a ranking method for fuzzy numbers. In this method a preference function is defined by which fuzzy numbers are measured point by point and at each point the most preferred number is identified. Then, these numbers are ranked on the basis of their preference ratio. Therefore, fuzzy numbers are compared relatively and not necessarily one is preferred absolutely over the others. This method is especially designed to evaluate alternatives in multi criteria or multi-attribute decision making. The method is intuitive and can be used to discriminate between numbers easily. The method is specially tailored for triangular fuzzy numbers (TFN) and an algorithm is presented to determine the... 

    Middle sized soccer robots: ARVAND

    , Article 3rd Robot World Cup Soccer Games and Conferences, RoboCup 1999, 27 July 1999 through 6 August 1999 ; Volume 1856 , 2000 , Pages 61-73 ; 03029743 (ISSN); 9783540410430 (ISBN) Jamzad, M ; Foroughnassiraei, A ; Chiniforooshan, E ; Ghorbani, R ; Kazemi, M ; Chitsaz, H ; Mobasser, F ; Sadjad, S. B ; Sony Corporation ; Sharif University of Technology
    Springer Verlag  2000
    Arvand is the name of robots specially designed and con-structed by sharif CE team for playing soccer according to RoboCup rules and regulations for the middle size robots. Two different types of robots are made, players and the goal keeper. A player robot consists of three main parts: mechanics (motion mechanism and kicker), hard-ware (image acquisition, processing unit and control unit) and software (image processing, wireless communication, motion control and decision making). The motion mechanism is based on two drive unit, two steer units and a castor wheel. We designed a special control board which uses two microcontrollers to carry out the software system decisions and transfers them... 

    Provide a Model for Evaluating Supply Chain Performance using a Balanced Scorecard to Supply Chain, and the Case of Iran Khodro Diesel

    , M.Sc. Thesis Sharif University of Technology Zeydabadi, Freydun (Author) ; Hajji, Alireza (Supervisor)
    Key conservation organizations to meet customer needs and attitudes of SCM is not only the ultimate goal of customer relationship that the final product delivers, but a sequence of suppliers in this work considers the integration of organizations involved in the synchronization process material, and financial information to improve the competitiveness of the supply chain are examined. The proper functioning of the supply chain , a key role in achieving sustainable success of an organization and its profitability goals, especially. In this regard, the establishment of a system of supply chain performance measurement in continuous improvement of its performance is recommended. In each of the... 

    Decision Analysis and Revenue Management In Health-Care

    , M.Sc. Thesis Sharif University of Technology Samadi, Mohamad Reza (Author) ; Koorosh, Eshghi (Supervisor)
    Nowadays, Resource Capacity Management (RCM) is one of the main challenges for industries which have a limited capacity to meet the demands. Revenue Management (RM) is a technique that controls the supply, improves the quality of Capacity Management and maximizes the revenue. Supplying the products and services to different groups of customers is a decision making problem.While the classic RM techniques take into account only the expected revenue, preferences of decision makers strongly affect the results. In this study, utility theory has been proposed because the healthcare industries are usually nonprofitable and they are not highly focused on the revenue gained by their products and... 

    The Impact of Information Sharing on Performance of an M/M/1 Queueing System

    , M.Sc. Thesis Sharif University of Technology Eshraghi, Mohammad Hossein (Author) ; Abouee-Mehrizi, Hossein (Supervisor)
    Social media can be helpful to people in vast areas, especially in queuing systems, in the real world there is remarkably unknown information like service time, average waiting time or average queue length to customers, thus people are likely to share their experiences to posterior customers who want to use the same service. This research examines the impact of user-generated reviews, on the performances of a Markovian queuing system, we assumed that customers are not aware of the service rate, therefore they will assist next customers by writing reviews about their service time they had experienced. We intend to examine the impact of information on queueing performance such as system... 

    A Model for the Selection and Prioritization of Project Portfolio in the Project-Based Organizations

    , M.Sc. Thesis Sharif University of Technology Sharifi, Atefe (Author) ; Hajji, Alireza (Supervisor)
    During recent years a variety of decision making models for project selecting and priorities have been developed. Most of these models used quantitative indicators for projects evaluating and focused on financial and economic indicators. In this project, a decision support system for project portfolio management in construction industry has been developed. The most important feature of this model that distinct it from others is its relationship with the organization's strategies. On one hand, this model focuses on the organization to ensuring that the projects selected for investment, meet the portfolio strategy and on the other hand, it focuses on project management to delivering projects... 

    Sustainability Assessment of Preventive Maintenance Plans (Case Study: Slurry Seal and Thin Overlay)

    , M.Sc. Thesis Sharif University of Technology Beheshti, Masih (Author) ; Tabatabaee, Nader (Supervisor)
    Preventive maintenance strategies have been considered by highway agencies in order to increase pavement service life and to reduce the costs associated with pavement maintenance. Due to the increasing concern regarding promoting sustainable pavements, consideration of the environmental, economic and performance factors in devising preventive maintenance strategies is of great importance.This study contributes to developing a multicriteria decision-making tool for sustainability evaluation of pavement preventive maintenance strategies. The developed tool, PaveSAT, considers the greenhouse gas emission, net present value, and pavement performance to rank preventive maintenance schemes using... 

    IGDT based robust decision making tool for DNOs in load procurement under severe uncertainty

    , Article IEEE Transactions on Smart Grid ; Volume 4, Issue 2 , 2013 , Pages 886-895 ; 19493053 (ISSN) Soroudi, A ; Ehsan, M ; Sharif University of Technology
    This paper presents the application of information gap decision theory (IGDT) to help the distribution network operators (DNOs) in choosing the supplying resources for meeting the demand of their customers. The three main energy resources are pool market, distributed generations (DGs), and the bilateral contracts. In deregulated environment, the DNO is faced with many uncertainties associated to the mentioned resources which may not have enough information about their nature and behaviors. In such cases, the classical methods like probabilistic methods or fuzzy methods are not applicable for uncertainty modeling because they need some information about the uncertainty behaviors like...