Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Efficient and Anonymous Mobile User Authentication Protocol Using Self-Certified Public Key Cryptography for Multi-Server Architectures

Abstract: Rapid advances in wireless communication technologies have paved the way for a wide range of mobile devices to become increasingly ubiquitous and popular. Mobile devices enable anytime, anywhere access to the Internet. The fast growth of many types of mobile services used by various users has made the traditional single-server architecture inefficient in terms of its functional requirements. To ensure the availability of various mobile services, there is a need to deploy multi-server architectures. To ensure the security of various mobile service applications, the anonymous mobile user authentication (AMUA) protocol without online registration using the self-certified public key cryptography (SCPKC) for multi-server architectures was proposed in the past. However, most of the past AMUA solutions suffer from malicious attacks or have unacceptable computation and communication costs. To address these drawbacks, we propose a new AMUA protocol that uses the SCPKC for multi-server architectures. In contrast to the existing AMUA protocols, our proposed AMUA protocol incurs lower computation and communication costs. By comparing with two of the latest AMUA protocols, the computation and the communication costs of our protocol are at least 74.93% and 37.43% lower than them, respectively. Moreover, the security analysis of our AMUA protocol demonstrates that it satisfies the security requirements in practical applications and is provably secure in the novel security model. By maintaining security at various levels, our AMUA protocol is more practical for various mobile applications.

Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight

Abstract: Reasonable and effective assessment of express service quality can help express company discover its own shortcomings and overcome them, which is crucial significant to enhance its service quality. When considering the decision assessment of express company, the key issue that emerge powerful ambiguity. Pythagorean fuzzy set as an efficient math tool can capture the indeterminacy successfully. The major focus of this manuscript is to explore various interactive Hamacher power aggregation operators for Pythagorean fuzzy numbers. Firstly, we defined novel interactive Hamacher operation, on this basis we presented some Pythagorean fuzzy interactive Hamacher power aggregation operators such as Pythagorean fuzzy interactive Hamacher power average, weighted average (PFIHPWA), ordered weighted average, Pythagorean fuzzy interactive Hamacher power geometric, weighted geometric (PFIHPWG) and ordered geometric operators,respectively. Meanwhile, we verified their general properties and specific cases as well. The salient feature of proposed operators is that they can not only reduce the impact of negative data and consider the interactions between membership and nonmembership degrees, but also provide more general results through a parameter. Secondly, we defined a Pythagorean fuzzy entropy measure, and then establish a method to determine the attribute weights. Further, based on the conceived PFIHPWA and PFIHPWG operators we explored a novel approach to manage multiple attribute decision making problems. At last, the proposed techniques are carried out in a real application concerning on the assessment of express service quality to display the applicability and effectiveness, as well as the influence of changed parameters on the results. In addition, its advantages are displayed by a systematic comparison with relevant approaches.

New exponential operational laws and their aggregation operators for interval‐valued Pythagorean fuzzy multicriteria decision‐making

Abstract: In this article, we define two new exponential operational laws about the interval‐valued Pythagorean fuzzy set (IVPFS) and their corresponding aggregation operators. However, the exponential parameters (weights) of all the existing operational laws of IVPFSs are crisp values in IVPFS decision‐making problems. As a supplement, this paper first introduces new exponential operational laws of IVPFS, where bases are crisp values or interval numbers and exponents are interval‐valued Pythagorean fuzzy numbers. The prominent characteristic of these proposed operations is studied. Based on these laws, we develop some new weighted aggregation operators, namely the interval‐valued Pythagorean fuzzy weighted exponential averaging operator and the dual interval‐valued Pythagorean fuzzy weighted exponential averaging. Finally, a decision‐making approach is presented based on these operators and illustrated with some numerical examples to validate the developed approach.

Utilization of wood ash in concrete manufacturing

Abstract: Solid waste management is the prime concern globally due to ever increasing quantities of waste materials and industrial by-products. Scarcity of land-filling space and because of its ever increasing cost, recycling and utilization of industrial by-products and waste materials has the only option. There are several types of such materials. The utilization of such materials in concrete not only makes it economical, but also helps in reducing disposal concerns. One such material is wood ash (WA). Wood ash (WA) is the residue generated due to combustion of wood and wood products (chips, saw dust, bark, etc.). It is the inorganic and organic residue remaining after the combustion of wood or unbleached wood fiber. This paper details about the physical, chemical, elemental and mineralogical composition of wood ash. It highlights the influence of wood ash on the slump, water absorption, compressive strength, splitting tensile strength, flexural strength, freezing and thawing resistance, and shrinkage of concrete. It also deals with the leaching behavior of wood ash.

A new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers

Abstract: In the literature, several algorithms are proposed for solving the transportation problems in fuzzy environment but in all the proposed algorithms the parameters are represented by normal fuzzy numbers. Chen [Operations on fuzzy numbers with function principal, Tamkang Journal of Management Science 6 (1985) 13-25] pointed out that in many cases it is not to possible to restrict the membership function to the normal form and proposed the concept of generalized fuzzy numbers. There are several papers in the literature in which generalized fuzzy numbers are used for solving real life problems but to the best of our knowledge, till now no one has used generalized fuzzy numbers for solving the transportation problems. In this paper, a new algorithm is proposed for solving a special type of fuzzy transportation problems by assuming that a decision maker is uncertain about the precise values of transportation cost only but there is no uncertainty about the supply and demand of the product. In the proposed algorithm transportation costs are represented by generalized trapezoidal fuzzy numbers. To illustrate the proposed algorithm a numerical example is solved and the obtained results are compared with the results of existing approaches. Since the proposed approach is a direct extension of classical approach so the proposed approach is very easy to understand and to apply on real life transportation problems for the decision makers.