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    Multiple attribute group decision making in interval type-2 fuzzy environment using a new distance formulation

    , Article International Journal of Operational Research ; Volume 24, Issue 1 , 2015 , Pages 17-37 ; 17457645 (ISSN) Heidarzade, A ; Mahdavi, I ; Mahdavi Amiri, N ; Sharif University of Technology
    Inderscience Enterprises Ltd  2015
    Abstract
    Type-2 fuzzy sets are generalisations of ordinary fuzzy sets in which the membership grades are characterised by fuzzy membership functions. Here, we consider the problem of finding the distance between two interval type-2 fuzzy sets (IT2-FSs). We define the formulation of calculating the distance between two IT2-FSs based on a new definition of centroid for an IT2-FS and explain an algorithm for obtaining it. Then, based on our proposed distance formulation, we present a method to deal with fuzzy multiple attributes group decision-making (FMAGDM) problems. We also use two examples to illustrate the FMAGDM process of the proposed method. The method provides us with a useful way to deal with... 

    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
    Abstract
    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... 

    Cell formation configuration using interval type-2 fuzzy interactional interests among workers

    , Article International Journal of Operational Research ; Volume 30, Issue 2 , 2017 , Pages 172-192 ; 17457645 (ISSN) Mahdavi, I ; Mahdavi Amiri, N ; Naderi, F ; Mahdi, M ; Sharif University of Technology
    Inderscience Enterprises Ltd  2017
    Abstract
    Group working has an important role in cellular manufacturing systems (CMS) as they can affect the work environment and job executions on machines. The most important factors affecting human resources are aspects of ability and interactional interest among workers in workshops. Here, we present a simple and efficient method considering these two aspects to deal with the assignment of workers to cells. We use interval type-2 fuzzy interactional interest among workers and the capability of working on machines to develop a new concept of cell formation in CMS. By using a multidepot multiple travelling salesman problem (MDmTSP) model, we assign workers to cells and then propose a mathematical... 

    Operation Planning in Restructured Power System Integrating Wind /Solar Energy

    , Ph.D. Dissertation Sharif University of Technology Siahkali, Hassan (Author) ; Vakilian, Mehdi (Supervisor)
    Abstract
    In power system operation, the term "operation planning" carries a wide range of meaning. For some utilities, operation planning denotes primarily short-term planning tasks (up to several days), such as load forecasting, unit commitment, hydro-thermal coordination, transaction pricing, fuel allocation, and security analysis while for other companies operational planning is interpreted in a wider context, and include mid-term planning activities (up to several months), such as maintenance planning, fuel budgeting, rate forecasting, network planning, relay coordination, etc. The mid-term planning provides the link between the long-term and short-term planning programs. The duration of this... 

    Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study

    , Article Applied Soft Computing Journal ; Volume 38 , 2016 , Pages 213-231 ; 15684946 (ISSN) Heidarzade, A ; Mahdavi, I ; Mahdavi Amiri, N ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    Supplier selection is a decision-making process to identify and evaluate suppliers for making contracts. Here, we use interval type-2 fuzzy values to show the decision makers' preferences and also introduce a new formula to compute the distance between two interval type-2 fuzzy sets. The performance of the proposed distance formula in comparison with the normalized Hamming, normalized Hamming based on the Hausdorff metric, normalized Euclidean and the signed distances is evaluated. The results show that the signed distance has the same trend as our method, but the other three methods are not appropriate for interval type-2 fuzzy sets. Using this approach, we propose a hierarchical... 

    A triangular type-2 multi-objective linear programming model and a solution strategy

    , Article Information Sciences ; Vol. 279 , 2014 , Pages 816-826 ; ISSN: 00200255 Maali, Y ; Mahdavi Amiri, N ; Sharif University of Technology
    Abstract
    We consider a multi-objective linear programming model with type-2 fuzzy objectives. The considered model has the flexibility for the user to specify the more general membership functions for objectives to reflect the inherent fuzziness, while being simple and practical. We develop two solution strategies with reasonable computing costs. The additional cost, as compared to the type-1 fuzzy model, is indeed insignificant. These two algorithms compute Pareto optimal solutions of the type-2 problems, one being based on a maxmin approach and the other on aggregating the objectives. Finally, applying the proposed algorithms, we work out two illustrative examples  

    Interval type-2 fuzzy modeling of wind power generation in Genco's generation scheduling

    , Article Electric Power Systems Research ; Volume 81, Issue 8 , 2011 , Pages 1696-1708 ; 03787796 (ISSN) Siahkali, H ; Vakilian, M ; Sharif University of Technology
    Abstract
    Wind power is a promising source of electric power generation since it has tremendous environmental and social benefits. The generation scheduling (GS) problem encounters several uncertainties in terms of the system's parameters such as load, reserve and available wind power generation. The modeling of those uncertainties is an important issue in power system scheduling. A fuzzy based modeling approach can be used to develop the generation schedule under an uncertain environment. In this paper, the type-2 fuzzy membership function (MF) is implemented to model the linguistic uncertainty of type-1 MF of available wind power generation which stems from opinions of different experts. The...