ORCID Profile
0000-0002-7308-7691
Current Organisation
Iran University of Science and Technology
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 06-2020
Publisher: Springer Science and Business Media LLC
Date: 18-05-2013
Publisher: Elsevier BV
Date: 02-2012
Publisher: Elsevier BV
Date: 12-2011
Publisher: Zhejiang University Press
Date: 04-2009
Publisher: Springer Science and Business Media LLC
Date: 03-07-2008
Publisher: Elsevier BV
Date: 05-2007
Publisher: IGI Global
Date: 10-2017
Abstract: As a way of simplifying, size reducing and making the structure of each social network be comprehensible, blockmodeling consists of two major, essential components: partitioning of actors to equivalent classes, called positions, and clarifying relations between and within positions. While actor partitioning in conventional blockmodeling is performed by several equivalence definitions, generalized blockmodeling, searches, locally, the best partition vector that best satisfies a predetermined structure. The need for known predefined structure and using a local search procedure, makes generalized blockmodeling be restricted. In this paper, the authors formulate blockmodel problem and employ a genetic algorithm for to search for the best partition vector fitting into original relational data in terms of the known indices. In addition, during multiple s les and situations such as dichotomous, signed, ordinal and interval valued, and multiple relations, the quality of results shows better fitness than classic and generalized blockmodeling.
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 09-2007
Publisher: Springer Science and Business Media LLC
Date: 30-07-2008
Publisher: Informa UK Limited
Date: 29-05-2014
Publisher: World Scientific Pub Co Pte Lt
Date: 02-2007
DOI: 10.1142/S0218488507004406
Abstract: The establishment of the priorities from pairwise comparison matrices is the major constituent of the Analytic Hierarchy Process (AHP). However, the number of pairwise comparisons necessary in real problems often becomes overwhelming. In such cases, generally the experts are not able to answer all questions and consequently sparse judgment matrix is generated which caused "equal ranks" and "rank reversal" based on AHP method. In this paper, a new ranking system (FARSJUM) is developed for such sparse judgment matrix. The system is constructed on fuzzy rules and fuzzy reasoning methods. The numerical ex le of world cup soccer tournament is brought to clarify the performance of the developed system comparing with AHP method in ranking the sparse judgment matrices.
Publisher: Elsevier BV
Date: 08-2009
Publisher: Elsevier BV
Date: 06-2005
Publisher: Walter de Gruyter GmbH
Date: 04-2014
Abstract: Evaluation of the Business Intelligence (BI) competencies of port community systems before they are bought and deployed is a vital importance for establishment of a decision-support environment for managers. This study proposes a new model which provides a simple approach to the assessment of the BI competencies of port community systems in organization. This approach helps decision-makers to select an enterprise system with appropriate intelligence requirements to support the managers’ decision-making tasks. Thirtyfour criteria for BI specifications are determined from a thorough review of the literature. The proposed model uses the fuzzy TOPSIS technique, which employs fuzzy weights of the criteria and fuzzy judgments of port community systems to compute the evaluation scores and rankings. The application of the model is realized in the evaluation, ranking and selecting of the needed port community systems in a port and maritime organization, in order to validate the proposed model with a real application. With utilizing the proposed model organizations can assess, select, and purchase port community systems which will provide a better decision-support environment for their business systems.
Publisher: Informa UK Limited
Date: 08-01-2015
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Science and Business Media LLC
Date: 18-01-2017
Publisher: Elsevier BV
Date: 2010
Publisher: IEEE
Date: 05-2015
Publisher: Inderscience Publishers
Date: 2006
Publisher: Inderscience Publishers
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2019
Publisher: Elsevier BV
Date: 03-2016
Publisher: Springer Science and Business Media LLC
Date: 06-09-2016
Publisher: Elsevier BV
Date: 13-05-2009
Publisher: Springer Science and Business Media LLC
Date: 10-10-2013
Publisher: Springer Science and Business Media LLC
Date: 12-10-2013
Publisher: Elsevier BV
Date: 08-2021
Publisher: Wiley
Date: 11-2008
DOI: 10.1002/QRE.925
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2004
DOI: 10.1142/S0217595904000291
Abstract: The inconsistency of judgments in the fuzzy Analytic Hierarchy Process (AHP) is a crucial issue. To make the appropriate decision, the inconsistency in decision maker's (DM) judgments needs to be eliminated or reduced. This paper proposes two mathematical models to deal with inconsistency in fuzzy AHP. In the first model, the DM's judgments are modified where the preference order of the DM's judgments remained unchanged. The second model allows reversing the preference orders of judgments. The proposed models aim to eliminate or reduce the inconsistency of fuzzy AHP by changing judgments. The models cause fewer changes for the high certain judgments. Two ex les solved by the proposed models are included for purposes of illustration.
Publisher: Inderscience Publishers
Date: 2015
Publisher: Inderscience Publishers
Date: 2008
Publisher: Springer Science and Business Media LLC
Date: 13-09-2014
Publisher: Hindawi Limited
Date: 2012
DOI: 10.1155/2012/650419
Abstract: Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ) problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB) as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical ex le illustrates the efficiency of the developed PRB.
Publisher: Springer Science and Business Media LLC
Date: 12-09-2021
Publisher: Elsevier BV
Date: 09-2006
Publisher: American Society of Clinical Oncology (ASCO)
Date: 20-07-2023
DOI: 10.1200/JCO.22.02459
Abstract: Compared with people living without HIV (PWOH), people living with HIV (PWH) and cancer have traditionally been excluded from immune checkpoint inhibitor (ICI) trials. Furthermore, there is a paucity of real-world data on the use of ICIs in PWH and cancer. This retrospective study included PWH treated with anti–PD-1- or anti–PD-L1-based therapies for advanced cancers. Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS). Objective response rates (ORRs) were measured per RECIST 1.1 or other tumor-specific criteria, whenever feasible. Restricted mean survival time (RMST) was used to compare OS and PFS between matched PWH and PWOH with metastatic NSCLC (mNSCLC). Among 390 PWH, median age was 58 years, 85% (n = 331) were males, 36% (n = 138) were Black 70% (n = 274) received anti–PD-1/anti–PD-L1 monotherapy. Most common cancers were NSCLC (28%, n = 111), hepatocellular carcinoma ([HCC] 11%, n = 44), and head and neck squamous cell carcinoma (HNSCC 10%, n = 39). Seventy percent (152/216) had CD4+ T cell counts ≥200 cells/µL, and 94% (179/190) had HIV viral load copies/mL. Twenty percent (79/390) had any grade immune-related adverse events (irAEs) and 7.7% (30/390) had grade ≥3 irAEs. ORRs were 69% (nonmelanoma skin cancer), 31% (NSCLC), 16% (HCC), and 11% (HNSCC). In the matched mNSCLC cohort (61 PWH v 110 PWOH), 20% (12/61) PWH and 22% (24/110) PWOH had irAEs. Adjusted 42-month RMST difference was –0.06 months (95% CI, –5.49 to 5.37 P = .98) for PFS and 2.23 months (95% CI, –4.02 to 8.48 P = .48) for OS. Among PWH, ICIs demonstrated differential activity across cancer types with no excess toxicity. Safety and activity of ICIs were similar between matched cohorts of PWH and PWOH with mNSCLC.
Publisher: Growing Science
Date: 2014
Publisher: Elsevier BV
Date: 04-2010
Publisher: Springer Science and Business Media LLC
Date: 21-09-2017
Publisher: Springer Science and Business Media LLC
Date: 05-11-2012
Location: Iran (Islamic Republic of)
No related grants have been discovered for Mehdi Ghazanfari.