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Journal articles on the topic 'AHP'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Burrell, Brian D., and Kevin M. Crisp. "Serotonergic Modulation of Afterhyperpolarization in a Neuron That Contributes to Learning in the Leech." Journal of Neurophysiology 99, no. 2 (2008): 605–16. http://dx.doi.org/10.1152/jn.00989.2007.

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Modulation of afterhyperpolarization (AHP) represents an important mechanism by which excitability of a neuron can be regulated. In the leech brain, sensitization enhances excitability of the S-cell, an interneuron thought to play an important role in this form of nonassociative learning. This increase in excitability is serotonin (5-HT) dependent, but it is not known whether changes in AHP contribute to 5-HT–mediated enhancement of excitability. Therefore electrophysiological recordings and computational modeling were used to determine whether 5-HT enhances excitability via modulation of AHP.

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2

Green, June, and Eric Whitton. "AHP/AHP Pages." Self & Society 25, no. 2 (1997): 51–52. http://dx.doi.org/10.1080/03060497.1997.11085745.

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3

G. Marimuthu, and G. Ramesh. "Comparison among Original AHP, Ideal AHP and Moderate AHP Models." International Research Journal of Engineering, IT & Scientific Research 2, no. 5 (2016): 40. http://dx.doi.org/10.21744/irjeis.v2i5.26.

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Decisions always involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques. Every decision making can be considered as the choice from the set of alternatives based on a set of criteria. The analytic hierarchy process (AHP) is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons. This paper is concerned with the moderate AHP decision model is always same as the original AHP decision model. It does not violate the rule itself.

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4

Ossadnik, Wolfgang, and Oliver Lange. "AHP-based evaluation of AHP-Software." European Journal of Operational Research 118, no. 3 (1999): 578–88. http://dx.doi.org/10.1016/s0377-2217(98)00321-x.

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5

Fan, Xiao Nan, and Shi Min Wang. "Decision Tree-Based Selecting Talents Schema." Applied Mechanics and Materials 220-223 (November 2012): 2823–27. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2823.

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Conventional model in selecting talents cannot satisfy the request for efficient selecting. In this paper, we study a mixture algorithm which is combined decision tree algorithm and analytic hierarchy process (AHP), named analytic hierarchy decision process (AHDP). It evaluates the performance of existing staff then assigns them into distinguished category, and combined the result of AHP method for each staff with corresponding employee information reforms a dataset to construct the decision tree. The motif of AHDP is an enhancement for reasonable prediction talents that enterprise expected.

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6

Liu, Fang, Yanan Peng, Weiguo Zhang, and Witold Pedrycz. "On Consistency in AHP and Fuzzy AHP." Journal of Systems Science and Information 5, no. 2 (2017): 128–47. http://dx.doi.org/10.21078/jssi-2017-128-20.

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Abstract The analytic hierarchy process (AHP) is used widely for analyzing decisions made in various real-world applications. Its basic idea is to construct a hierarchy of concepts encountered in a given decision problem and to choose the best alternative according to pairwise comparison matrices given by the decision maker. Under the assumption of fully rational economics, a reasonable decision should be consistent. It becomes an important issue on how to analyze and ensure the consistency of comparison matrices together with the judgments of the decision maker. The main objectives of the pre

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7

Mickleburgh, Sue. "AHP Page." Self & Society 23, no. 5 (1995): 52–53. http://dx.doi.org/10.1080/03060497.1995.11085586.

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8

Green, June. "AHP Page." Self & Society 25, no. 1 (1997): 50. http://dx.doi.org/10.1080/03060497.1997.11085727.

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Finer, Ruth. "AHP Page." Self & Society 25, no. 6 (1998): 39–40. http://dx.doi.org/10.1080/03060497.1998.11085820.

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Finer, Ruth. "AHP Page." Self & Society 26, no. 1 (1998): 44. http://dx.doi.org/10.1080/03060497.1998.11085835.

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Finer, Ruth. "AHP Page." Self & Society 26, no. 2 (1998): 45. http://dx.doi.org/10.1080/03060497.1998.11085851.

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12

Buckle, John. "AHP Page." Self & Society 26, no. 3 (1998): 37–38. http://dx.doi.org/10.1080/03060497.1998.11085863.

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Buckle, John. "AHP Page." Self & Society 26, no. 4 (1998): 34–35. http://dx.doi.org/10.1080/03060497.1998.11085877.

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Buckle, John. "AHP Page." Self & Society 27, no. 1 (1999): 43–44. http://dx.doi.org/10.1080/03060497.1999.11085924.

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Buckle, John. "AHP Page." Self & Society 27, no. 2 (1999): 44. http://dx.doi.org/10.1080/03060497.1999.11085938.

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Buckle, John. "AHP Page." Self & Society 27, no. 3 (1999): 34–35. http://dx.doi.org/10.1080/03060497.1999.11085954.

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Buckle, John. "AHP Page." Self & Society 27, no. 4 (1999): 45. http://dx.doi.org/10.1080/03060497.1999.11085970.

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Buckle, John. "AHP page." Self & Society 27, no. 5 (1999): 42–43. http://dx.doi.org/10.1080/03060497.1999.11085982.

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Buckle, John. "AHP page." Self & Society 27, no. 6 (2000): 49–50. http://dx.doi.org/10.1080/03060497.2000.11085999.

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Buckle, John. "AHP page." Self & Society 28, no. 1 (2000): 48. http://dx.doi.org/10.1080/03060497.2000.11086015.

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Buckle, John. "AHP page." Self & Society 28, no. 2 (2000): 41–42. http://dx.doi.org/10.1080/03060497.2000.11086028.

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Buckle, John. "AHP pages." Self & Society 28, no. 3 (2000): 47–49. http://dx.doi.org/10.1080/03060497.2000.11086043.

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23

Buckle, John. "AHP page." Self & Society 28, no. 4 (2000): 51. http://dx.doi.org/10.1080/03060497.2000.11086055.

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Buckle, John. "AHP page." Self & Society 28, no. 5 (2001): 31. http://dx.doi.org/10.1080/03060497.2001.11086066.

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Buckle, John. "AHP page." Self & Society 28, no. 6 (2001): 40. http://dx.doi.org/10.1080/03060497.2001.11086080.

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26

Buckle, John. "AHP page." Self & Society 29, no. 1 (2001): 45–46. http://dx.doi.org/10.1080/03060497.2001.11086094.

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Buckle, John. "AHP page." Self & Society 29, no. 2 (2001): 45–46. http://dx.doi.org/10.1080/03060497.2001.11086108.

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Buckle, John. "AHP page." Self & Society 29, no. 3 (2001): 34–35. http://dx.doi.org/10.1080/03060497.2001.11086118.

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29

Buckle, John. "AHP page." Self & Society 30, no. 1 (2002): 36. http://dx.doi.org/10.1080/03060497.2002.11086130.

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Buckle, John. "AHP page." Self & Society 30, no. 3 (2002): 45. http://dx.doi.org/10.1080/03060497.2002.11086151.

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Buckle, John. "AHP page." Self & Society 30, no. 4 (2002): 37. http://dx.doi.org/10.1080/03060497.2002.11086164.

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Buckle, John. "AHP page." Self & Society 30, no. 5 (2002): 39–40. http://dx.doi.org/10.1080/03060497.2002.11086175.

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Buckle, John. "AHP page." Self & Society 30, no. 6 (2003): 45. http://dx.doi.org/10.1080/03060497.2003.11086186.

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Buckle, John. "AHP page." Self & Society 31, no. 1 (2003): 43–44. http://dx.doi.org/10.1080/03060497.2003.11086197.

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35

Sharma, Deepak, Srinivasan Sridhar, and David Claudio. "Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems." International Journal of Industrial and Systems Engineering 34, no. 2 (2020): 203. http://dx.doi.org/10.1504/ijise.2020.10026954.

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36

Sharma, Deepak, Srinivasan Sridhar, and David Claudio. "Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems." International Journal of Industrial and Systems Engineering 34, no. 2 (2020): 203. http://dx.doi.org/10.1504/ijise.2020.105291.

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37

Yanti Suartini, Ni Komang, Dewa Gede Hendra Divayana, and Luh Joni Erawati Dewi. "Comparison Analysis of AHP-SAW, AHP-WP, AHP-TOPSIS Methods in Private Tutor Selection." International Journal of Modern Education and Computer Science 15, no. 1 (2023): 28–45. http://dx.doi.org/10.5815/ijmecs.2023.01.03.

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38

Yoshimura, M., C. Polosa, and S. Nishi. "Noradrenaline-induced afterdepolarization in cat sympathetic preganglionic neurons in vitro." Journal of Neurophysiology 57, no. 5 (1987): 1314–24. http://dx.doi.org/10.1152/jn.1987.57.5.1314.

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Sympathetic preganglionic neurons of the intermediolateral nucleus were identified by antidromic stimulation in the slice of the T2 or T3 segment of the cat spinal cord. In normal Krebs solution, the action potential of these neurons had a shoulder on the repolarization phase and was followed by a long-lasting afterhyperpolarization (AHP). The AHP had a fast and a slow component. Superfusion of the slice with noradrenaline (NA), 10-50 microM, resulted in depression of the shoulder on the repolarization phase of the action potential, in the appearance of an afterdepolarization (ADP), which was

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39

Gnanavelbabu, A., and P. Arunagiri. "Ranking of MUDA using AHP and Fuzzy AHP algorithm." Materials Today: Proceedings 5, no. 5 (2018): 13406–12. http://dx.doi.org/10.1016/j.matpr.2018.02.334.

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40

Morita, Carlos Yoshio, Rafael Lima Medeiros, Márcio Antônio Couto Ferreira, and Mário de Queiroz Pierre Filho. "Prioritization of resources in cartographic work using multicriteria methods: AHP, AHP-Gaussian and AHP-TOPSIS-2N." Concilium 23, no. 13 (2023): 247–66. http://dx.doi.org/10.53660/clm-1547-23j04.

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The objective of the present work was to test the application of multicriteria methods for prioritizing the technical activities of the cartography sector of a military institution that produces geoinformation, aiming at increasing efficiency in productive operations and in the effective allocation of available resources. In this attempt, the multicriteria decision support methods AHP, AHP-Gaussian and AHP-TOPSIS-2N were used. In 75% of the scenarios tested, the priority alternative was A2 (Cartographic Mapping of Force Interest). In all methods, the two alternatives with the lowest priority w

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41

Tang, Zizhong, Caixia Zhou, Yi Cai, et al. "Purification, characterization and antioxidant activities in vitro of polysaccharides from Amaranthus hybridus L." PeerJ 8 (April 29, 2020): e9077. http://dx.doi.org/10.7717/peerj.9077.

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Background Amaranthus hybridus L. is an annual, erect or less commonly ascending herb that is a member of the Amaranthaceae family. Polysaccharides extracted from traditional Chinese medicines may be effective substances with antioxidant activity. Methods In this study, we isolated crude polysaccharides from A. hybridus (AHP-M) using microwave-assisted extraction. Then, the AHP-M was purified by chromatography with DEAE-32 cellulose, and two fractions, AHP-M-1 and AHP-M-2, were obtained. The structural characteristics of AHP-M-1 and AHP-M-2 were investigated, and their antioxidant activities w

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42

Izzati, Afifah Nurul. "Literatur Review: Penerapan Metode Analytic Hierarchy Process Sebagai Teknik Prioritas Kebutuhan Perangkat Lunak." INTEK : Jurnal Informatika dan Teknologi Informasi 6, no. 2 (2023): 8–18. http://dx.doi.org/10.37729/intek.v6i2.3729.

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AHP is one of the popular techniques used in prioritizing software requirements. This study aims to determine the application of AHP as a software requirements priority technique by reviewing thirty literature related to the application of AHP as a software requirements prioritization technique pub-lished in 2017 to 2023. The results of the study explain that the application of AHP has several ad-vantages, but on the other hand AHP also has some drawbacks. Over time, a number of literatures have discussed the development of AHP which aims to minimize weaknesses in the application of AHP. The d

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43

Kajita, Yoshitaka. "Proposals of AHP-Type of Disaggregate Logit Model and Improved AHP Model in Modal Choice." Applied Mechanics and Materials 409-410 (September 2013): 1166–72. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1166.

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This paper aims at constructing an improved model of modal choice by the use of both of AHP model and disaggregate logit model. Firstly, using AHP structure model, the importance of various factors in modal choice is investigated, and relevant choosing consciousness is scored. Secondly, a disaggregate logit model for modal choice with AHP scores and physical factors is proposed. Thirdly, weights of items in AHP model for modal choice are reversibly estimated by the use of the proposed AHP-type of disaggregate logit model. Direct AHP model, AHP-type of disaggregate logit model and improved AHP

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44

Power, John M., M. Mathew Oh, and John F. Disterhoft. "Metrifonate Decreases sI AHP in CA1 Pyramidal Neurons In Vitro." Journal of Neurophysiology 85, no. 1 (2001): 319–22. http://dx.doi.org/10.1152/jn.2001.85.1.319.

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Metrifonate, a cholinesterase inhibitor, has been shown to enhance learning in aging rabbits and rats, and to alleviate the cognitive deficits observed in Alzheimer's disease patients. We have previously determined that bath application of metrifonate reduces the spike frequency adaptation and postburst afterhyperpolarization (AHP) in rabbit CA1 pyramidal neurons in vitro using sharp electrode current-clamp recording. The postburst AHP and accommodation observed in current clamp are the result of four slow outward potassium currents (s I AHP, I AHP, I M, and I C) and the hyperpolarization acti

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45

Nangle, Julian, Alyss Thomas, James MacKenzie, and Ruth Finer. "AHP Conference Reports." Self & Society 21, no. 6 (1994): 10–13. http://dx.doi.org/10.1080/03060497.1994.11085384.

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46

Collis, Whiz. "AHP/AHPP Pages." Self & Society 22, no. 5 (1994): 43–45. http://dx.doi.org/10.1080/03060497.1994.11085483.

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47

Collis, Whiz. "AHPP/AHP Pages." Self & Society 22, no. 6 (1995): 45–46. http://dx.doi.org/10.1080/03060497.1995.11085500.

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48

Burgess, Marolyn, and Whiz Collis. "AHP/AHPP Pages." Self & Society 23, no. 1 (1995): 43–46. http://dx.doi.org/10.1080/03060497.1995.11085520.

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49

Burgess, Marolyn. "The AHP Page." Self & Society 23, no. 2 (1995): 45–46. http://dx.doi.org/10.1080/03060497.1995.11085535.

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50

Mickleburgh, Sue. "The AHP Page." Self & Society 24, no. 1 (1996): 49–50. http://dx.doi.org/10.1080/03060497.1996.11085622.

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