scholarly journals EVALUATION TYPES OF EXTERIOR WALLS TO RECONSTRUCT IRAN EARTHQUAKE AREAS (AHAR HERIS VARZEQAN) BY USING AHP AND FUZZY METHODS

2016 ◽  
Vol 20 (3) ◽  
pp. 328-340 ◽  
Author(s):  
Seyed Teimor HOSSEINI ◽  
Shahin LALE AREFI ◽  
Mahdi BITARAFAN ◽  
Sajjad ABAZARLOU ◽  
Edmundas Kazimieras ZAVADSKAS

Two earthquakes of magnitude 6.1mb occurred at the Ahar and around 16000 residential buildings were destroyed. one of the conspicuous issues in the earthquake is property management to reconstruct and confront the crisis. in this regard, since the most damage inflicted on the buildings occurs in the exterior walls, therefore, the most financial resources must be spent on reconstructing this part of damaged buildings. Thus, this paper was conducted in order to reduce expenditure and increase the resistance of the walls. The urban fabric of the area didn’t sustain much damage and only the exterior walls of the buildings were collapsed. Thus, the main aim of this article is to study different types of exterior walls for renewal and reconstruction of buildings in earthquake area. To approach this aim, using group decision-making method. This paper presents the comparison of FUZZY and AHP. in this regard, this research is centralized on types of exterior walls to reconstruct iran earthquake areas (Ahar, Heris, Varzeqan). five main methods have been chosen by asking experts in the related fields and to evaluate and select the best of exterior walls. finally 3D panel wall was selected as the optimal wall for reconstruction of earthquake area.

2019 ◽  
Vol 37 (6) ◽  
pp. 8603-8612
Author(s):  
Yu Shang ◽  
Zhe Li ◽  
Zhanlin Wang ◽  
Sifeng Yang ◽  
Jinglun Zhou

2009 ◽  
Vol 05 (02) ◽  
pp. 353-369 ◽  
Author(s):  
JOHN N. MORDESON ◽  
TERRY D. CLARK ◽  
ADAM KARNIK ◽  
JACOB MOORE ◽  
MARK J. WIERMAN

We use techniques of group decision making and consensus under fuzzy preferences and fuzzy majority developed so as to compare five methods used for determining the degree of causality of eight variables for democratic consolidation. In particular for Q denoting the linguistic variable 'most', we determine the fuzzy Q-core, i.e. the fuzzy subset of the set of causal variables that are not defeated (are undominated or unpreferred) by the methods. We also calculate the Q-consensus winner, i.e. the fuzzy subset of causal variables yielding the extent to which one variable is preferred to another, where 'preferred' here means stronger cause for democratic consolidation. Finally, we use the techniques of fuzzy outranking relations in preference modeling to generate relational systems of fuzzy preferences by the five methods used to determine the degree of causality of the causal variables.


2015 ◽  
Vol 713-715 ◽  
pp. 2029-2036
Author(s):  
Jin Tang ◽  
Chun Dong Guo ◽  
Yan Gao

In terms of different decision-making problem and expert groups, experts’ discourse right is dynamic and relative. Therefore, scientific and rationality of experts empowerment are directly affect final evaluation results. For solving the problem of the objectivity of the evaluation index weight assignment, a method which based on the Shapley value to determine the expert’s weight has been proposed and illustrated in this paper. Firstly, on the basis of analyzing the characteristics of the expert group decision making process, the correlation of experts’ knowledge stock has been defined to represent knowledge spillover among the experts group. Secondly, based on the contribution degree of each expert’s knowledge spillover which has been discussed through correlation analysis, and weight has been allocated to experts. The results show that the method can not only avoid experts empowerment evenly phenomenon, and fully respect the differences of evaluation experts. Finally, the author suggests different types of expert group decisions should be invited to participate in decision-making which helps to give play to brainstorming effect, producing more knowledge spillover and promoting scientific and rationality of decision-making.


2021 ◽  
Author(s):  
Manish Agarwal

Abstract In multi attribute group decision making (MAGDM), different types of un- certainties co-exist on account of hesitancy, vagueness, and incompleteness besides the diversity in evaluations. To cater to this problem of represent- ing such uncertain evaluations in their original form, new datastructures have been proposed. In this regard, the concept of hesitant information set (HIS) [Applied Soft Computing, 2018] is of great significance. To add to its usefulness in the representation of vague evaluations, it is extended to the continuous and interval-valued domains. A number of illustrative examples are included to show their worth in the real world group decision-making. The basic operations for them, along with their properties, are investigated. A real case-study is included.


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